Examples of com.neuralnetwork.shared.network.INetwork.build()

Package com.neuralnetwork.shared.network

Class com.neuralnetwork.shared.network.INetwork

Examples of com.neuralnetwork.shared.network.INetwork.build()

com.neuralnetwork.shared.network.INetwork.build()
Build the neural network. 1. Construct all Neurons in each layer. 2. Construct all the links connecting all layers

   */
  @Test
    public final void testGetHeight() {
    INetwork n = new Network(FIVE, FIVE, THREE, 
        new int[] {FOUR, TWO, FOUR});
    n.build();
    assertEquals(FIVE, n.getHeight());
  }


  /**
   * Test method for {@link com.neuralnetwork

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   */
  @Test
    public final void testRunInputs() {
    INetwork n = new Network(FIVE, FIVE, THREE, 
        new int[] {FOUR, TWO, FOUR});
    n.build();
    Vector<Double> values = new Vector<Double>();
    values.add(NN_INPUT_VALUE);
        values.add(NN_INPUT_VALUE);
        values.add(NN_INPUT_VALUE);
        values.add(NN_INPUT_VALUE);

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   */
  @Test
    public final void testReset() {
    INetwork n = new Network(FIVE, FIVE, THREE, 
        new int[] {FOUR, TWO, FOUR});
    n.build();
    n.reset();
  }


  /**
   * Test method for {@link com.neuralnetwork

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   */
  @Test
    public final void testTrainVectorOfDouble() {
    INetwork n = new Network(FIVE, FIVE, THREE, 
        new int[] {FOUR, TWO, FOUR});
    n.build();
    //n.train(false, null);
    //n.train(true, null);
    //TODO Complete.
  }

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   */
  @Test
    public final void testTrainTrainingStackErrorValue() {
    INetwork n = new Network(FIVE, FIVE, THREE, 
        new int[] {FOUR, TWO, FOUR});
    n.build();
    //n.train(null, null);
    //TODO Complete.
  }


  /**

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   */
  @Test
    public final void testGetOutputLayer() {
    INetwork n = new Network(FIVE, FIVE, THREE, 
        new int[] {FOUR, TWO, FOUR});
    n.build();
    assertEquals(LayerType.OUTPUT, n.getOutputLayer().getLayerType());
  }


  /**
   * Test method for {@link com.neuralnetwork

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  @Test
    public final void testSetOutputLayer() {
    INetwork n = new Network(FIVE, FIVE, THREE, 
        new int[] {FOUR, TWO, FOUR});
    n.setOutputLayer(new OutputLayer(THREE));
    n.build();
    assertEquals(LayerType.OUTPUT, n.getOutputLayer().getLayerType());
    assertEquals(THREE, n.getOutputLayer().getSize());
  }


  /**

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  @Test
    public final void testAddHiddenLayer() {
    INetwork n = new Network(FIVE, FIVE, THREE, 
        new int[] {FOUR, TWO, FOUR});
    n.addHiddenLayer(new HiddenLayer(THREE * TWO));
    n.build();
    IHiddenLayer h = n.getHiddenLayer(THREE);
    assertEquals(LayerType.HIDDEN, h.getLayerType());
    assertEquals(THREE * TWO, h.getSize());
  }

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   */
  @Test
    public final void testGetHiddenLayer() {
    INetwork n = new Network(FIVE, FIVE, THREE, 
        new int[] {FOUR, TWO, FOUR});
    n.build();
    assertEquals(LayerType.HIDDEN, n.getHiddenLayer(0).getLayerType());
    assertEquals(LayerType.HIDDEN, n.getHiddenLayer(1).getLayerType());
    assertEquals(LayerType.HIDDEN, n.getHiddenLayer(2).getLayerType());
  }

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   */
  @Test
    public final void testGetInputLayer() {
    INetwork n = new Network(FIVE, FIVE, THREE, 
        new int[] {FOUR, TWO, FOUR});
    n.build();
    assertEquals(LayerType.INPUT, n.getInputLayer().getLayerType());
  }


  /**
   * Test method for {@link com.neuralnetwork

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