Compare commits
1
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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7cce8921ab |
@@ -1,21 +0,0 @@
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name: Build and Push
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on:
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push:
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branches: [main]
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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- name: Login to registry
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run: |
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echo "${{ secrets.REGISTRY_PASSWORD }}" | \
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docker login git.ada-dev.ru -u ${{ secrets.REGISTRY_USER }} --password-stdin
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- name: Build and push
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run: |
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docker build -t git.ada-dev.ru/ada/${{ gitea.repository }}:latest .
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docker push git.ada-dev.ru/ada/${{ gitea.repository }}:latest
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@@ -4,7 +4,6 @@ require_relative 'loader'
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require_relative 'functions'
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require_relative 'functions'
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require_relative 'hopfield'
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require_relative 'hopfield'
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require_relative 'hamming'
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require_relative 'hamming'
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require_relative 'trace'
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EPS = 0.01
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EPS = 0.01
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@@ -51,7 +50,7 @@ post '/recall_steps' do
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MAX_MAXNET_ITER.times do
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MAX_MAXNET_ITER.times do
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nxt = maxnet_step(outputs, eps)
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nxt = maxnet_step(outputs, eps)
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hamming_steps << nxt.map { |v| v.round(2) }
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hamming_steps << nxt.map { |v| v.round(2) }
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break if nxt.count { |v| v > 1e-9 } <= 1
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break if nxt.count { |v| v > 0 } <= 1
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outputs = nxt
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outputs = nxt
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end
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end
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@@ -65,44 +64,6 @@ post '/recall_steps' do
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}.to_json
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}.to_json
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end
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end
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post '/recall_trace' do
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content_type :json
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noisy = JSON.parse(request.body.read)['vector'].map(&:to_f)
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hopfield_steps = [noisy.map(&:to_i)]
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hopfield_nets = []
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current = noisy.dup
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MAX_HOPFIELD_ITER.times do
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net = trace_hopfield_step(WEIGHTS, current)
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nxt = net.map { |v| v >= 0 ? 1 : -1 }
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changed = current.each_with_index.count { |v, i| v.to_i != nxt[i] }
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hopfield_nets << { net: net.map { |v| v.round(3) }, changed: changed }
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hopfield_steps << nxt
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break if vectors_equal?(current, nxt)
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current = nxt
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end
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eps_val = 0.9 / PATTERN_VECTORS.length
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outputs = hamming_layer(PATTERN_VECTORS, noisy)
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hamming_steps = [outputs.map { |v| v.round(2) }]
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MAX_MAXNET_ITER.times do
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nxt = maxnet_step(outputs, eps_val)
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hamming_steps << nxt.map { |v| v.round(2) }
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break if nxt.count { |v| v > 1e-9 } <= 1
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outputs = nxt
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end
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winner_idx = outputs.each_with_index.max_by { |v, _| v }[1]
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{
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hopfield_steps: hopfield_steps,
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hopfield_nets: hopfield_nets,
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hamming_steps: hamming_steps,
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pattern_names: PATTERN_NAMES,
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hamming_winner: PATTERN_NAMES[winner_idx],
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hamming_trace: hamming_trace(PATTERN_VECTORS, noisy)
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}.to_json
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end
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post '/recall' do
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post '/recall' do
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content_type :json
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content_type :json
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noisy = JSON.parse(request.body.read)['vector'].map(&:to_f)
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noisy = JSON.parse(request.body.read)['vector'].map(&:to_f)
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+2
-2
@@ -13,7 +13,7 @@ def maxnet_step(outputs, eps)
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end
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end
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end
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end
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MAX_MAXNET_ITER = 100
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MAX_MAXNET_ITER = 500
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def recall_hamming(pattern_vectors, input_vec)
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def recall_hamming(pattern_vectors, input_vec)
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eps = 0.9 / pattern_vectors.length
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eps = 0.9 / pattern_vectors.length
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@@ -21,7 +21,7 @@ def recall_hamming(pattern_vectors, input_vec)
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outputs = hamming_layer(pattern_vectors, input_vec)
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outputs = hamming_layer(pattern_vectors, input_vec)
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MAX_MAXNET_ITER.times do
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MAX_MAXNET_ITER.times do
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next_out = maxnet_step(outputs, eps)
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next_out = maxnet_step(outputs, eps)
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return next_out.each_with_index.max_by { |v, _| v }[1] if next_out.count { |v| v > 1e-9 } <= 1
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return next_out.each_with_index.max_by { |v, _| v }[1] if next_out.count { |v| v > 0 } <= 1
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outputs = next_out
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outputs = next_out
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end
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end
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@@ -1,6 +1,4 @@
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require 'roo'
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require 'roo'
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require 'zip'
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Zip.warn_invalid_date = false
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def load_patterns(file)
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def load_patterns(file)
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xlsx = Roo::Spreadsheet.open(file)
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xlsx = Roo::Spreadsheet.open(file)
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@@ -1,18 +0,0 @@
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def trace_hopfield_step(weights, vector)
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n = vector.length
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Array.new(n) { |i| n.times.sum { |j| weights[i][j] * vector[j] } }
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end
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def hamming_trace(pattern_vectors, input_vec)
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n = input_vec.length
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k = pattern_vectors.length
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dots = pattern_vectors.map { |pv| pv.zip(input_vec).sum { |a, b| a * b } }
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initial = dots.map { |dot| (dot.to_f + n) / 2.0 }
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{
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eps: (0.9 / k).round(6),
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k: k,
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n: n,
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dot_products: dots,
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initial_outputs: initial.map { |v| v.round(2) }
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}
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end
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+23
-187
@@ -3,8 +3,6 @@
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<head>
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<head>
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<meta charset="UTF-8">
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<meta charset="UTF-8">
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<title>Сети Хопфилда и Хэмминга</title>
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<title>Сети Хопфилда и Хэмминга</title>
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/katex.min.css">
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<script defer src="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/katex.min.js"></script>
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<style>
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<style>
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* { box-sizing: border-box; margin: 0; padding: 0; }
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* { box-sizing: border-box; margin: 0; padding: 0; }
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@@ -186,60 +184,6 @@
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#results-section { display: none; }
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#results-section { display: none; }
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#trace-panels {
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display: flex;
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gap: 1rem;
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margin-top: 1.5rem;
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flex-wrap: wrap;
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}
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.trace-panel {
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flex: 1;
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min-width: 220px;
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background: #1e1e3a;
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border: 1px solid #3a3a5a;
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border-radius: 6px;
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padding: 0.75rem 1rem;
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font-size: 0.88rem;
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color: #b0c4e8;
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line-height: 1.8;
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max-height: 420px;
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overflow-y: auto;
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}
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.trace-panel-title {
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font-family: monospace;
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font-size: 0.75rem;
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color: #8ab4f8;
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text-transform: uppercase;
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letter-spacing: 0.08em;
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margin-bottom: 0.5rem;
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border-bottom: 1px solid #3a3a5a;
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padding-bottom: 0.3rem;
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}
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.trace-line {
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font-family: monospace;
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font-size: 0.82rem;
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color: #888;
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padding-left: 0.5rem;
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}
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.trace-header {
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font-family: monospace;
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font-size: 0.8rem;
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color: #8ab4f8;
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text-transform: uppercase;
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letter-spacing: 0.05em;
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margin-top: 0.5rem;
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}
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.trace-formula {
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padding: 0.2rem 0;
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}
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.katex { color: #e8d8ff; }
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#loading {
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#loading {
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display: none;
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display: none;
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align-items: center;
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align-items: center;
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@@ -297,9 +241,6 @@
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<span id="delay-label">300 мс</span>
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<span id="delay-label">300 мс</span>
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</span>
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</span>
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</label>
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</label>
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<label class="step-toggle">
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<input type="checkbox" id="formula-mode"> Показывать формулы вычислений
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</label>
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<div class="recall-area">
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<div class="recall-area">
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<div class="pattern-box">
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<div class="pattern-box">
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@@ -311,17 +252,6 @@
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</div>
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</div>
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</div>
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</div>
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<div id="trace-panels" style="display:none">
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<div class="trace-panel">
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<div class="trace-panel-title">Хопфилд</div>
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<div id="trace-hopfield"></div>
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</div>
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<div class="trace-panel">
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<div class="trace-panel-title">Хэмминг</div>
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<div id="trace-hamming"></div>
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</div>
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</div>
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<div id="results-section">
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<div id="results-section">
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<div class="net-results">
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<div class="net-results">
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<div class="net-block">
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<div class="net-block">
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@@ -360,68 +290,15 @@
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});
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});
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});
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});
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let currentRunId = 0;
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const stepModeCheckbox = document.getElementById('step-mode');
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const speedControl = document.getElementById('speed-control');
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const stepModeCheckbox = document.getElementById('step-mode');
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const stepDelaySlider = document.getElementById('step-delay');
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const formulaModeCheckbox = document.getElementById('formula-mode');
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const delayLabel = document.getElementById('delay-label');
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const speedControl = document.getElementById('speed-control');
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const stepDelaySlider = document.getElementById('step-delay');
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const delayLabel = document.getElementById('delay-label');
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stepModeCheckbox.addEventListener('change', () => {
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stepModeCheckbox.addEventListener('change', () => {
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speedControl.classList.toggle('visible', stepModeCheckbox.checked);
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speedControl.classList.toggle('visible', stepModeCheckbox.checked);
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});
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});
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function traceEl(panelId, className, content, isLatex = false) {
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const panel = document.getElementById(panelId);
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const el = document.createElement('div');
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el.className = className;
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if (isLatex) {
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el.innerHTML = katex.renderToString(content, { throwOnError: false, displayMode: false });
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} else {
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el.textContent = content;
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}
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panel.appendChild(el);
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panel.scrollTop = panel.scrollHeight;
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}
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const hfLine = (text) => traceEl('trace-hopfield', 'trace-line', text);
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const hfFormula = (tex) => traceEl('trace-hopfield', 'trace-formula', tex, true);
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const hmLine = (text) => traceEl('trace-hamming', 'trace-line', text);
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const hmFormula = (tex) => traceEl('trace-hamming', 'trace-formula', tex, true);
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function clearTrace() {
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document.getElementById('trace-hopfield').innerHTML = '';
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document.getElementById('trace-hamming').innerHTML = '';
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document.getElementById('trace-panels').style.display = 'none';
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}
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function buildTrace(data) {
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document.getElementById('trace-panels').style.display = 'flex';
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const names = data.pattern_names;
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const t = data.hamming_trace;
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hfFormula(String.raw`s_j(p{+}1) = \sum_{i=0}^{n-1} w_{ij}\,y_i(p)`);
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hfFormula(String.raw`y_j(p{+}1) = f\!\left[s_j(p{+}1)\right], \quad f(s)=\begin{cases}1&s\geq0\\-1&s<0\end{cases}`);
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data.hopfield_nets.forEach((nd, i) => {
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const mark = nd.changed === 0 ? ' ← сошлось' : '';
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hfLine(`p=${i + 1}: изменено ${nd.changed}/64${mark}`);
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});
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|
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hmFormula(String.raw`w_{ik} = \tfrac{x_i^k}{2}, \quad T_k = \tfrac{n}{2}`);
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hmFormula(String.raw`y_j^{(1)} = \sum_{i=0}^{n-1} w_{ij}\,x_i + T_j`);
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const layer = names.map((n, i) => `${n}\\!=\\!${t.initial_outputs[i]}`).join(',\\;');
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hmFormula(String.raw`y_j^{(2)}(0) = y_j^{(1)}:\;` + layer);
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hmFormula(String.raw`0 < \varepsilon < \tfrac{1}{m},\quad \varepsilon = \tfrac{0.9}{${t.k}} = ${t.eps}`);
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hmFormula(String.raw`s_j^{(2)}(p{+}1) = y_j^{(2)}(p) - \varepsilon\!\sum_{k \neq j} y_k^{(2)}(p)`);
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hmFormula(String.raw`y_j^{(2)}(p{+}1) = f\!\left[s_j^{(2)}(p{+}1)\right]`);
|
|
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data.hamming_steps.slice(1).forEach((step, i) => {
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const vals = names.map((n, j) => `${n}\\!=\\!${step[j]}`).join(',\\;');
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hmFormula(`p=${i + 1}:\\; y^{(2)} = [\\;` + vals + `\\;]`);
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});
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hmFormula(String.raw`\Rightarrow \text{победитель: } \mathbf{` + data.hamming_winner + `}`);
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}
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|
||||||
|
|
||||||
stepDelaySlider.addEventListener('input', () => {
|
stepDelaySlider.addEventListener('input', () => {
|
||||||
delayLabel.textContent = stepDelaySlider.value + ' мс';
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delayLabel.textContent = stepDelaySlider.value + ' мс';
|
||||||
});
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});
|
||||||
@@ -431,17 +308,12 @@
|
|||||||
.map(c => parseFloat(c.dataset.val));
|
.map(c => parseFloat(c.dataset.val));
|
||||||
}
|
}
|
||||||
|
|
||||||
function hideResults() {
|
|
||||||
document.getElementById('results-section').style.display = 'none';
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|
||||||
clearTrace();
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|
||||||
}
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|
||||||
|
|
||||||
function clearGrid() {
|
function clearGrid() {
|
||||||
document.querySelectorAll('#input-grid .cell').forEach(c => {
|
document.querySelectorAll('#input-grid .cell').forEach(c => {
|
||||||
c.dataset.val = '-1';
|
c.dataset.val = '-1';
|
||||||
c.className = 'cell interactive off';
|
c.className = 'cell interactive off';
|
||||||
});
|
});
|
||||||
hideResults();
|
document.getElementById('results-section').style.display = 'none';
|
||||||
}
|
}
|
||||||
|
|
||||||
function randomNoise() {
|
function randomNoise() {
|
||||||
@@ -450,7 +322,7 @@
|
|||||||
c.dataset.val = v;
|
c.dataset.val = v;
|
||||||
c.className = 'cell interactive ' + (v === '1' ? 'on' : 'off');
|
c.className = 'cell interactive ' + (v === '1' ? 'on' : 'off');
|
||||||
});
|
});
|
||||||
hideResults();
|
document.getElementById('results-section').style.display = 'none';
|
||||||
}
|
}
|
||||||
|
|
||||||
function vectorsEqual(a, b) {
|
function vectorsEqual(a, b) {
|
||||||
@@ -485,24 +357,17 @@
|
|||||||
});
|
});
|
||||||
}
|
}
|
||||||
|
|
||||||
async function showSteps(data, runId) {
|
async function showSteps(data) {
|
||||||
const delay = parseInt(stepDelaySlider.value);
|
const delay = parseInt(stepDelaySlider.value);
|
||||||
const cells = [...document.querySelectorAll('#output-grid .cell')];
|
const cells = [...document.querySelectorAll('#output-grid .cell')];
|
||||||
const names = data.pattern_names;
|
const names = data.pattern_names;
|
||||||
const showTrace = formulaModeCheckbox.checked && data.hopfield_nets;
|
|
||||||
|
|
||||||
document.getElementById('results-section').style.display = 'block';
|
document.getElementById('results-section').style.display = 'block';
|
||||||
document.getElementById('hamming-answer').textContent = '—';
|
document.getElementById('hamming-answer').textContent = '—';
|
||||||
document.getElementById('hamming-label').textContent = '';
|
document.getElementById('hamming-label').textContent = '';
|
||||||
document.getElementById('hopfield-label').textContent = '';
|
document.getElementById('hopfield-label').textContent = '';
|
||||||
|
|
||||||
if (showTrace) {
|
// Инициализируем бары
|
||||||
clearTrace();
|
|
||||||
document.getElementById('trace-panels').style.display = 'flex';
|
|
||||||
hfFormula(String.raw`s_j(p{+}1) = \sum_{i=0}^{n-1} w_{ij}\,y_i(p)`);
|
|
||||||
hfFormula(String.raw`y_j(p{+}1) = f\!\left[s_j(p{+}1)\right], \quad f(s)=\begin{cases}1&s\geq0\\-1&s<0\end{cases}`);
|
|
||||||
}
|
|
||||||
|
|
||||||
renderBars(names, data.hamming_steps[0]);
|
renderBars(names, data.hamming_steps[0]);
|
||||||
|
|
||||||
const hfSteps = data.hopfield_steps;
|
const hfSteps = data.hopfield_steps;
|
||||||
@@ -514,36 +379,16 @@
|
|||||||
renderGrid(cells, hfSteps[i]);
|
renderGrid(cells, hfSteps[i]);
|
||||||
document.getElementById('hopfield-step').textContent =
|
document.getElementById('hopfield-step').textContent =
|
||||||
i === 0 ? 'Шаг 0 — входной вектор' : `Шаг ${i} из ${hfSteps.length - 1}`;
|
i === 0 ? 'Шаг 0 — входной вектор' : `Шаг ${i} из ${hfSteps.length - 1}`;
|
||||||
if (showTrace && i > 0 && data.hopfield_nets[i - 1]) {
|
|
||||||
const nd = data.hopfield_nets[i - 1];
|
|
||||||
const mark = nd.changed === 0 ? ' ← сошлось' : '';
|
|
||||||
hfLine(`p=${i}: изменено ${nd.changed}/64${mark}`);
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
if (i < hmSteps.length) {
|
if (i < hmSteps.length) {
|
||||||
renderBars(names, hmSteps[i]);
|
renderBars(names, hmSteps[i]);
|
||||||
document.getElementById('hamming-step').textContent =
|
document.getElementById('hamming-step').textContent =
|
||||||
i === 0 ? 'Шаг 0 — слой Хэмминга' : `Итерация MAXNET ${i} из ${hmSteps.length - 1}`;
|
i === 0 ? 'Шаг 0 — слой Хэмминга' : `Итерация MAXNET ${i} из ${hmSteps.length - 1}`;
|
||||||
if (showTrace) {
|
|
||||||
const t = data.hamming_trace;
|
|
||||||
if (i === 0) {
|
|
||||||
hmFormula(String.raw`w_{ik} = \tfrac{x_i^k}{2}, \quad T_k = \tfrac{n}{2}`);
|
|
||||||
hmFormula(String.raw`y_j^{(1)} = \sum_{i=0}^{n-1} w_{ij}\,x_i + T_j`);
|
|
||||||
const layer = names.map((n, j) => `${n}\\!=\\!${t.initial_outputs[j]}`).join(',\\;');
|
|
||||||
hmFormula(String.raw`y_j^{(2)}(0) = y_j^{(1)}:\;` + layer);
|
|
||||||
hmFormula(String.raw`0 < \varepsilon < \tfrac{1}{m},\quad \varepsilon = \tfrac{0.9}{${t.k}} = ${t.eps}`);
|
|
||||||
hmFormula(String.raw`s_j^{(2)}(p{+}1) = y_j^{(2)}(p) - \varepsilon\!\sum_{k \neq j} y_k^{(2)}(p)`);
|
|
||||||
hmFormula(String.raw`y_j^{(2)}(p{+}1) = f\!\left[s_j^{(2)}(p{+}1)\right]`);
|
|
||||||
} else {
|
|
||||||
const vals = names.map((n, j) => `${n}\\!=\\!${hmSteps[i][j]}`).join(',\\;');
|
|
||||||
hmFormula(`p=${i}:\\; y^{(2)} = [\\;` + vals + `\\;]`);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
await sleep(delay);
|
await sleep(delay);
|
||||||
if (runId !== currentRunId) return;
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
// Итог Хопфилд
|
||||||
const hfFinal = hfSteps[hfSteps.length - 1];
|
const hfFinal = hfSteps[hfSteps.length - 1];
|
||||||
document.getElementById('hopfield-step').textContent =
|
document.getElementById('hopfield-step').textContent =
|
||||||
`Завершено за ${hfSteps.length - 1} шаг(ов)`;
|
`Завершено за ${hfSteps.length - 1} шаг(ов)`;
|
||||||
@@ -552,13 +397,13 @@
|
|||||||
hfLabel.textContent = hfMatch ? `Совпадает с эталоном: ${hfMatch}` : 'Не совпадает ни с одним эталоном';
|
hfLabel.textContent = hfMatch ? `Совпадает с эталоном: ${hfMatch}` : 'Не совпадает ни с одним эталоном';
|
||||||
hfLabel.className = 'status-label ' + (hfMatch ? 'yes' : 'no');
|
hfLabel.className = 'status-label ' + (hfMatch ? 'yes' : 'no');
|
||||||
|
|
||||||
|
// Итог Хэмминг
|
||||||
document.getElementById('hamming-step').textContent =
|
document.getElementById('hamming-step').textContent =
|
||||||
`Завершено за ${hmSteps.length - 1} итерац(ий)`;
|
`Завершено за ${hmSteps.length - 1} итерац(ий)`;
|
||||||
document.getElementById('hamming-answer').textContent = data.hamming_winner;
|
document.getElementById('hamming-answer').textContent = data.hamming_winner;
|
||||||
const hmLabel = document.getElementById('hamming-label');
|
const hmLabel = document.getElementById('hamming-label');
|
||||||
hmLabel.textContent = `Ближайший эталон: ${data.hamming_winner}`;
|
hmLabel.textContent = `Ближайший эталон: ${data.hamming_winner}`;
|
||||||
hmLabel.className = 'status-label yes';
|
hmLabel.className = 'status-label yes';
|
||||||
if (showTrace) hmFormula(String.raw`\Rightarrow \text{победитель (}\,y_j^{(2)}\text{ max):}\;\mathbf{` + data.hamming_winner + `}`);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
function showResult(data) {
|
function showResult(data) {
|
||||||
@@ -573,32 +418,24 @@
|
|||||||
hfLabel.textContent = hfMatch ? `Совпадает с эталоном: ${hfMatch}` : 'Не совпадает ни с одним эталоном';
|
hfLabel.textContent = hfMatch ? `Совпадает с эталоном: ${hfMatch}` : 'Не совпадает ни с одним эталоном';
|
||||||
hfLabel.className = 'status-label ' + (hfMatch ? 'yes' : 'no');
|
hfLabel.className = 'status-label ' + (hfMatch ? 'yes' : 'no');
|
||||||
|
|
||||||
document.getElementById('hamming-answer').textContent = data.hamming_winner || data.hamming;
|
document.getElementById('hamming-answer').textContent = data.hamming;
|
||||||
const hmLabel = document.getElementById('hamming-label');
|
const hmLabel = document.getElementById('hamming-label');
|
||||||
hmLabel.textContent = `Ближайший эталон: ${data.hamming_winner || data.hamming}`;
|
hmLabel.textContent = `Ближайший эталон: ${data.hamming}`;
|
||||||
hmLabel.className = 'status-label yes';
|
hmLabel.className = 'status-label yes';
|
||||||
|
|
||||||
|
// Скрываем бары в обычном режиме
|
||||||
document.getElementById('maxnet-bars').innerHTML = '';
|
document.getElementById('maxnet-bars').innerHTML = '';
|
||||||
document.getElementById('results-section').style.display = 'block';
|
|
||||||
|
|
||||||
if (data.hopfield_nets && data.hopfield_nets.length) {
|
document.getElementById('results-section').style.display = 'block';
|
||||||
clearTrace();
|
|
||||||
buildTrace(data);
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
async function recall() {
|
async function recall() {
|
||||||
const runId = ++currentRunId;
|
const vector = getInputVector();
|
||||||
const vector = getInputVector();
|
const stepMode = stepModeCheckbox.checked;
|
||||||
const stepMode = stepModeCheckbox.checked;
|
const endpoint = stepMode ? '/recall_steps' : '/recall';
|
||||||
const formulaMode = formulaModeCheckbox.checked;
|
|
||||||
const endpoint = formulaMode ? '/recall_trace'
|
|
||||||
: stepMode ? '/recall_steps'
|
|
||||||
: '/recall';
|
|
||||||
|
|
||||||
document.getElementById('loading').style.display = 'flex';
|
document.getElementById('loading').style.display = 'flex';
|
||||||
document.getElementById('results-section').style.display = 'none';
|
document.getElementById('results-section').style.display = 'none';
|
||||||
clearTrace();
|
|
||||||
|
|
||||||
try {
|
try {
|
||||||
const resp = await fetch(endpoint, {
|
const resp = await fetch(endpoint, {
|
||||||
@@ -606,12 +443,11 @@
|
|||||||
headers: { 'Content-Type': 'application/json' },
|
headers: { 'Content-Type': 'application/json' },
|
||||||
body: JSON.stringify({ vector })
|
body: JSON.stringify({ vector })
|
||||||
});
|
});
|
||||||
if (runId !== currentRunId) return;
|
|
||||||
const data = await resp.json();
|
const data = await resp.json();
|
||||||
document.getElementById('loading').style.display = 'none';
|
document.getElementById('loading').style.display = 'none';
|
||||||
|
|
||||||
if (stepMode) {
|
if (stepMode) {
|
||||||
await showSteps(data, runId);
|
await showSteps(data);
|
||||||
} else {
|
} else {
|
||||||
showResult(data);
|
showResult(data);
|
||||||
}
|
}
|
||||||
@@ -623,6 +459,6 @@
|
|||||||
</script>
|
</script>
|
||||||
|
|
||||||
</body>
|
</body>
|
||||||
<footer style="margin-top:3rem; font-size:0.75rem; color:#666; text-align:center;">
|
<footer style="margin-top: 3rem; font-size: 0.8rem; color: #555; text-align: center;">
|
||||||
© Created by Antipenko D.A. for MIAD - 2026
|
© Визуализация работы сетей Хопфилда и Хэмминга by Антипенко Д.А. - 2026. Ruby/Sinatra
|
||||||
</html>
|
</html>
|
||||||
|
|||||||
Reference in New Issue
Block a user