Package com.neuralnetwork.shared.neurons

Examples of com.neuralnetwork.shared.neurons.HiddenNeuron.addOutputLink()

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  private boolean getResetTestResult() {
    Neuron m = new HiddenNeuron();
    Neuron o = new OutputNeuron();
    Neuron o1 = new OutputNeuron();
    m.addOutputLink(o);
    m.addOutputLink(o1);
   
    ILink[] l = m.getOutputLinks(0, 1);
    DoubleValue v = l[0].getWeight();
    DoubleValue v1 = l[1].getWeight();
   
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  @Test
  public final void testSetActivationFunction() {
    Neuron m = new HiddenNeuron();
    Neuron o = new OutputNeuron();
    Neuron o1 = new OutputNeuron();
    m.addOutputLink(o);
    m.addOutputLink(o1);
    m.setActivationFunction(null);
    assertEquals(m.getActivationFunction(), null);
    m.setActivationFunction(new SigmoidFunction());
    assertEquals(m.getActivationFunction(), new SigmoidFunction());
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  public final void testSetActivationFunction() {
    Neuron m = new HiddenNeuron();
    Neuron o = new OutputNeuron();
    Neuron o1 = new OutputNeuron();
    m.addOutputLink(o);
    m.addOutputLink(o1);
    m.setActivationFunction(null);
    assertEquals(m.getActivationFunction(), null);
    m.setActivationFunction(new SigmoidFunction());
    assertEquals(m.getActivationFunction(), new SigmoidFunction());
  }
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  @Test
  public final void testGetActivationFunction() {
    Neuron m = new HiddenNeuron();
    Neuron o = new OutputNeuron();
    Neuron o1 = new OutputNeuron();
    m.addOutputLink(o);
    m.addOutputLink(o1);
    m.setActivationFunction(null);
    assertEquals(m.getActivationFunction(), null);
    m.setActivationFunction(new SigmoidFunction());
    assertEquals(m.getActivationFunction(), new SigmoidFunction());
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  public final void testGetActivationFunction() {
    Neuron m = new HiddenNeuron();
    Neuron o = new OutputNeuron();
    Neuron o1 = new OutputNeuron();
    m.addOutputLink(o);
    m.addOutputLink(o1);
    m.setActivationFunction(null);
    assertEquals(m.getActivationFunction(), null);
    m.setActivationFunction(new SigmoidFunction());
    assertEquals(m.getActivationFunction(), new SigmoidFunction());
  }
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        Neuron m = new HiddenNeuron();
        Neuron o = new OutputNeuron();
        Neuron o1 = new OutputNeuron();
        n.addOutputLink(m);
        n1.addOutputLink(m);
        m.addOutputLink(o);
        m.addOutputLink(o1);

        assertEquals(m.getInputLink(0), n.getOutputLink(0));

        LOGGER.debug("====== Before Feedforward ======");
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        Neuron o = new OutputNeuron();
        Neuron o1 = new OutputNeuron();
        n.addOutputLink(m);
        n1.addOutputLink(m);
        m.addOutputLink(o);
        m.addOutputLink(o1);

        assertEquals(m.getInputLink(0), n.getOutputLink(0));

        LOGGER.debug("====== Before Feedforward ======");
        LOGGER.debug(n + " " + n1);
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    Neuron o = new OutputNeuron();
    Neuron o1 = new OutputNeuron();
   
    i.addOutputLink(m);
    i1.addOutputLink(m);
    m.addOutputLink(o);
    m.addOutputLink(o1);
   
    i.getNextChild();
    assertFalse(i.equals(i1));
   
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    Neuron o1 = new OutputNeuron();
   
    i.addOutputLink(m);
    i1.addOutputLink(m);
    m.addOutputLink(o);
    m.addOutputLink(o1);
   
    i.getNextChild();
    assertFalse(i.equals(i1));
   
    o.getNextParent();
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