Package com.neuralnetwork.shared.neurons

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

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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(n.getOutputLink(0).getTail(), m);
    assertEquals(n1.getOutputLink(0).getTail(), m);
  }
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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);
   
    ILink[] l = m.getOutputLinks(0, 1);
   
    assertEquals(l[0].getTail(), o);
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    Neuron o = new OutputNeuron();
    Neuron o1 = new OutputNeuron();
    n.addOutputLink(m);
    n1.addOutputLink(m);
    m.addOutputLink(o);
    m.addOutputLink(o1);
   
    ILink[] l = m.getOutputLinks(0, 1);
   
    assertEquals(l[0].getTail(), o);
    assertEquals(l[1].getTail(), o1);
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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);
         
          ILink[] l = m.getOutputLinks(0, 1);
          m.setOutputLink(0, l[1]);
            m.setOutputLink(1, l[0]);
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          Neuron o = new OutputNeuron();
          Neuron o1 = new OutputNeuron();
          n.addOutputLink(m);
          n1.addOutputLink(m);
          m.addOutputLink(o);
          m.addOutputLink(o1);
         
          ILink[] l = m.getOutputLinks(0, 1);
          m.setOutputLink(0, l[1]);
            m.setOutputLink(1, l[0]);
          assertEquals(l[0].getTail(), o);
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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);
           
            ILink[] l = m.getOutputLinks(0, 1);
            m.setOutputLinks(l);
            assertEquals(l[0].getTail(), o);
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            Neuron o = new OutputNeuron();
            Neuron o1 = new OutputNeuron();
            n.addOutputLink(m);
            n1.addOutputLink(m);
            m.addOutputLink(o);
            m.addOutputLink(o1);
           
            ILink[] l = m.getOutputLinks(0, 1);
            m.setOutputLinks(l);
            assertEquals(l[0].getTail(), o);
            assertEquals(l[1].getTail(), o1);
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        Neuron m = new HiddenNeuron();
        Neuron o = new OutputNeuron();
        Neuron o1 = new OutputNeuron();
        m.addInputLink(n);
        m.addInputLink(n1);
        m.addOutputLink(o);
        m.addOutputLink(o1);
       
        ILink[] l = m.getOutputLinks(0, 1);
        m.setInputLinks(l);
        assertEquals(l[0].getHead(), m);
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        Neuron o = new OutputNeuron();
        Neuron o1 = new OutputNeuron();
        m.addInputLink(n);
        m.addInputLink(n1);
        m.addOutputLink(o);
        m.addOutputLink(o1);
       
        ILink[] l = m.getOutputLinks(0, 1);
        m.setInputLinks(l);
        assertEquals(l[0].getHead(), m);
        assertEquals(l[1].getHead(), m);
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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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