.gitea/workflows/deploy.yml

@@ -0,0 +1,21 @@
+name: Build and Push
+
+on:
+  push:
+    branches: [main]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Login to registry
+        run: |
+          echo "${{ secrets.REGISTRY_PASSWORD }}" | \
+          docker login git.ada-dev.ru -u ${{ secrets.REGISTRY_USER }} --password-stdin
+
+      - name: Build and push
+        run: |
+          docker build -t git.ada-dev.ru/ada/${{ gitea.repository }}:latest .
+          docker push git.ada-dev.ru/ada/${{ gitea.repository }}:latest

app.rb

@@ -9,7 +9,7 @@ require_relative 'trace'
 EPS = 0.01
 
 set :bind,       '0.0.0.0'
-set :port,       4568
+set :port,       4567
 set :server,     'webrick'
 disable :protection
 set :host_authorization, { allow_if: ->(_env) { true } }
@@ -51,7 +51,7 @@ post '/recall_steps' do
   MAX_MAXNET_ITER.times do
     nxt = maxnet_step(outputs, eps)
     hamming_steps << nxt.map { |v| v.round(2) }
-    break if nxt.count { |v| v > 0 } <= 1
+    break if nxt.count { |v| v > 1e-9 } <= 1
     outputs = nxt
   end
 
@@ -88,7 +88,7 @@ post '/recall_trace' do
   MAX_MAXNET_ITER.times do
     nxt = maxnet_step(outputs, eps_val)
     hamming_steps << nxt.map { |v| v.round(2) }
-    break if nxt.count { |v| v > 0 } <= 1
+    break if nxt.count { |v| v > 1e-9 } <= 1
     outputs = nxt
   end
   winner_idx = outputs.each_with_index.max_by { |v, _| v }[1]

hamming.rb

@@ -21,7 +21,7 @@ def recall_hamming(pattern_vectors, input_vec)
   outputs = hamming_layer(pattern_vectors, input_vec)
   MAX_MAXNET_ITER.times do
     next_out = maxnet_step(outputs, eps)
-    return next_out.each_with_index.max_by { |v, _| v }[1] if next_out.count { |v| v > 0 } <= 1
+    return next_out.each_with_index.max_by { |v, _| v }[1] if next_out.count { |v| v > 1e-9 } <= 1
     outputs = next_out
   end
 

loader.rb

@@ -1,4 +1,6 @@
 require 'roo'
+require 'zip'
+Zip.warn_invalid_date = false
 
 def load_patterns(file)
   xlsx = Roo::Spreadsheet.open(file)

views/index.erb

@@ -401,20 +401,23 @@
     const names = data.pattern_names;
     const t     = data.hamming_trace;
 
-    hfFormula(String.raw`\operatorname{net}_i = \sum_{j} W_{ij} \cdot x_j \qquad x_i = \operatorname{sgn}(\operatorname{net}_i)`);
+    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}`);
     data.hopfield_nets.forEach((nd, i) => {
       const mark = nd.changed === 0 ? '  ← сошлось' : '';
-      hfLine(`шаг ${i + 1}: изменено ${nd.changed}/64${mark}`);
+      hfLine(`p=${i + 1}: изменено ${nd.changed}/64${mark}`);
     });
 
-    hmFormula(String.raw`y_k = \frac{\mathbf{x} \cdot \mathbf{p}_k + n}{2}`);
+    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, i) => `${n}\\!=\\!${t.initial_outputs[i]}`).join(',\\;');
-    hmFormula(String.raw`\text{слой: }\;` + layer);
-    hmFormula(String.raw`\varepsilon = \tfrac{0.9}{K} = \tfrac{0.9}{${t.k}} = ${t.eps}`);
-    hmFormula(String.raw`y_i(t{+}1) = \max\!\left(0,\; y_i(t) - \varepsilon\!\sum_{j \neq i} y_j(t)\right)`);
+    hmFormula(String.raw`y_j^{(2)}(0) = y_j^{(1)}:\;` + layer);
+    hmFormula(String.raw`0 < \varepsilon < \tfrac{1}{m},\quad \varepsilon = \tfrac{0.9}{${t.k}} = ${t.eps}`);
+    hmFormula(String.raw`s_j^{(2)}(p{+}1) = y_j^{(2)}(p) - \varepsilon\!\sum_{k \neq j} y_k^{(2)}(p)`);
+    hmFormula(String.raw`y_j^{(2)}(p{+}1) = f\!\left[s_j^{(2)}(p{+}1)\right]`);
     data.hamming_steps.slice(1).forEach((step, i) => {
       const vals = names.map((n, j) => `${n}\\!=\\!${step[j]}`).join(',\\;');
-      hmFormula(`\\text{iter ${i + 1}: }\\;` + vals);
+      hmFormula(`p=${i + 1}:\\; y^{(2)} = [\\;` + vals + `\\;]`);
     });
     hmFormula(String.raw`\Rightarrow \text{победитель: } \mathbf{` + data.hamming_winner + `}`);
   }
@@ -496,7 +499,8 @@
     if (showTrace) {
       clearTrace();
       document.getElementById('trace-panels').style.display = 'flex';
-      hfFormula(String.raw`\operatorname{net}_i = \sum_{j} W_{ij} \cdot x_j \qquad x_i = \operatorname{sgn}(\operatorname{net}_i)`);
+      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]);
@@ -513,7 +517,7 @@
         if (showTrace && i > 0 && data.hopfield_nets[i - 1]) {
           const nd   = data.hopfield_nets[i - 1];
           const mark = nd.changed === 0 ? '  ← сошлось' : '';
-          hfLine(`шаг ${i}: изменено ${nd.changed}/64${mark}`);
+          hfLine(`p=${i}: изменено ${nd.changed}/64${mark}`);
         }
       }
       if (i < hmSteps.length) {
@@ -523,14 +527,16 @@
         if (showTrace) {
           const t = data.hamming_trace;
           if (i === 0) {
-            hmFormula(String.raw`y_k = \frac{\mathbf{x} \cdot \mathbf{p}_k + n}{2}`);
+            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`\text{слой: }\;` + layer);
-            hmFormula(String.raw`\varepsilon = \tfrac{0.9}{${t.k}} = ${t.eps}`);
-            hmFormula(String.raw`y_i(t{+}1) = \max\!\left(0,\; y_i(t) - \varepsilon\!\sum_{j \neq i} y_j(t)\right)`);
+            hmFormula(String.raw`y_j^{(2)}(0) = y_j^{(1)}:\;` + layer);
+            hmFormula(String.raw`0 < \varepsilon < \tfrac{1}{m},\quad \varepsilon = \tfrac{0.9}{${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(`\\text{iter ${i}: }\\;` + vals);
+            hmFormula(`p=${i}:\\; y^{(2)} = [\\;` + vals + `\\;]`);
           }
         }
       }
@@ -552,7 +558,7 @@
     const hmLabel = document.getElementById('hamming-label');
     hmLabel.textContent = `Ближайший эталон: ${data.hamming_winner}`;
     hmLabel.className = 'status-label yes';
-    if (showTrace) hmFormula(String.raw`\Rightarrow \text{победитель: } \mathbf{` + data.hamming_winner + `}`);
+    if (showTrace) hmFormula(String.raw`\Rightarrow \text{победитель (}\,y_j^{(2)}\text{ max):}\;\mathbf{` + data.hamming_winner + `}`);
   }
 
   function showResult(data) {
@@ -618,5 +624,5 @@
 
 </body>
 <footer style="margin-top:3rem; font-size:0.75rem; color:#666; text-align:center;">
-  &copy; Develop by Antipenko D.A. for MIAD - 2026
+  &copy; Created by Antipenko D.A. for MIAD - 2026
 </html>