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Jan 19th, 2018
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Java 0.89 KB | None | 0 0
  1.         int layers[] = {2, 1};
  2.         NeuralNetwork n = new NeuralNetwork(layers, 2);
  3.  
  4.  
  5.         float[][] inputs = {{0.0f, 0.0f, 0.0f}, {1.0f, 1.0f, 1.0f}, {0.0f, 1.0f, 0.0f}, {1.0f, 0.0f, 1.0f}, {0.0f, 1.0f, 1.0f}};
  6.         float[][] outputs = {{0.0f}, {1.0f}, {1.0f}, {1.0f}, {1.0f}};
  7.  
  8.         for (int t = 0; t < 100000; t++) {
  9.             for (int i = 0; i < inputs.length - 1; i++) {
  10.  
  11.                 n.setInput(inputs[i]);
  12.                 n.activate();
  13.                 n.train(outputs[i]);
  14.                 if (t % 100 == 0) {
  15.                     System.out.println("Input: " + Arrays.toString(inputs[i]) + " Expected: " + Arrays.toString(outputs[i]) + " ANN output ->" + Arrays.toString(n.getOutput()));
  16.                 }
  17.             }
  18.         }
  19.  
  20.         n.setInput(inputs[4]);
  21.  
  22.         n.activate();
  23.  
  24.         System.out.println("MEGA TEST: " + Arrays.toString(n.getOutput()));
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