Examples of InputNeuron

Examples of com.neuralnetwork.shared.neurons.InputNeuron

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   * Test method for {@link com.neuralnetwork
   * .shared.neurons.Neuron#getOutputLinks(int[])}.
   */
  @Test
  public final void testGetOutputLinks() {
    Neuron n = new InputNeuron(); 
    Neuron n1 = new InputNeuron();
    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);
   
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Examples of com.neuralnetwork.shared.neurons.InputNeuron

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     * Test method for {@link com.neuralnetwork
     * .shared.neurons.Neuron#setOutputLink(int,ILink)}.
     */
  @Test
  public final void testSetOutputLinkIntILink() {
         Neuron n = new InputNeuron();  
          Neuron n1 = new InputNeuron();
          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]);
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Examples of com.neuralnetwork.shared.neurons.InputNeuron

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     * Test method for {@link com.neuralnetwork
     * .shared.neurons.Neuron#setOutputLinks(ILink[])}.
     */
    @Test
    public final void testSetOutputLinkILinkArray() {
           Neuron n = new InputNeuron();  
            Neuron n1 = new InputNeuron();
            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);
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Examples of com.neuralnetwork.shared.neurons.InputNeuron

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     * Test method for {@link com.neuralnetwork
     * .shared.neurons.Neuron#setInputLink(int, ILink)}.
     */
    @Test
    public final void testSetInputLink() {
      Neuron n = new InputNeuron();  
        Neuron n1 = new InputNeuron();
        Neuron m = new HiddenNeuron();
        Neuron o = new OutputNeuron();
        Neuron o1 = new OutputNeuron();
        m.addInputLink(n);
        m.addInputLink(n1);
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Examples of com.neuralnetwork.shared.neurons.InputNeuron

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     * Test method for {@link com.neuralnetwork
     * .shared.neurons.Neuron#setInputs(Vector)}.
     */
    @Test
    public final void testInputs() {
      Neuron n = new InputNeuron();
        Neuron n1 = new InputNeuron();
        Neuron m = new HiddenNeuron();

        m.addInputLink(n);
        m.addInputLink(n1);
        Vector<ILink> v = new Vector<ILink>();
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Examples of com.neuralnetwork.shared.neurons.InputNeuron

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   * Test method for {@link com.neuralnetwork
   * .shared.neurons.Neuron#getValue()}.
   */
  @Test
  public final void testGetValue() {
    Neuron n = new InputNeuron(); 
    Neuron n1 = new InputNeuron();
   
    assertEquals(n.getValue(), new ZeroValue());
    assertEquals(n1.getValue(), new ZeroValue());
  }
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Examples of com.neuralnetwork.shared.neurons.InputNeuron

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   * .shared.neurons.Neuron#setValue(
   * com.neuralnetwork.shared.values.IValue)}.
   */
  @Test
  public final void testSetValue() {
    Neuron n = new InputNeuron(); 
    Neuron n1 = new InputNeuron();
    n.setValue(new OneValue());
    n1.setValue(new OneValue());
    assertEquals(n.getValue(), new OneValue());
    assertEquals(n1.getValue(), new OneValue());
  }
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Examples of com.neuralnetwork.shared.neurons.InputNeuron

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     * Test method for {@link com.neuralnetwork
     * .shared.neurons.Neuron#feedforward()}.
     */
    @Test
    public final void testFeedforward() {
        Neuron n = new InputNeuron(new DoubleValue(D_0_1));
        Neuron n1 = new InputNeuron(new DoubleValue(D_0_1));
        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));

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Examples of com.neuralnetwork.shared.neurons.InputNeuron

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   * .shared.neurons.Neuron
   * #equals(java.lang.Object)}.
   */
  @Test
  public final void testEqualsObject() {
    Neuron n = new InputNeuron(); 
    Neuron n1 = new InputNeuron();

    assertEquals(n, n1);
    n.setType(null);
    n1.setType(null);
    assertEquals(n, n1);
    n1 = null;
    assertFalse(n.equals(n1));
    HiddenLayer n2 = new HiddenLayer(1);
    assertFalse(n.equals(n2));
    n.setActivationFunction(null);
    n1 = new InputNeuron();
    assertFalse(n.equals(n1));
    n1.setType(null);
    n1.setActivationFunction(null);
    assertEquals(n, n1);
    n.setActivationFunction(new SigmoidFunction());
    assertFalse(n.equals(n1));
   
    Neuron i = new InputNeuron();
    Neuron i1 = new InputNeuron();
    Neuron m = new HiddenNeuron();
    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));
   
    o.getNextParent();
    assertFalse(o.equals(o1));
    assertFalse(i1.equals(o1));
    Neuron k = new OutputNeuron();
    Neuron k1 = new OutputNeuron();
    k1.addOutputLink(o);
    assertFalse(k.equals(k1));
   
    Neuron l = new OutputNeuron();
    Neuron l1 = new InputNeuron();
    assertFalse(l.equals(l1));
   
    Neuron p = new OutputNeuron();
    p.setValue(new DoubleValue());
    Neuron p1 = new OutputNeuron();
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Examples of tv.floe.metronome.classification.neuralnetworks.core.neurons.InputNeuron

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  @Test
  public void testCalculate() throws Exception {
   
   
    Neuron input_layer_neuron_0 = new InputNeuron();
    Neuron input_layer_neuron_1 = new InputNeuron();
    Neuron input_layer_neuron_2 = new InputNeuron();
   
   
    Neuron middle_layer_neuron_0 = new Neuron();
    Neuron middle_layer_neuron_1 = new Neuron();
    Neuron middle_layer_neuron_2 = new Neuron();
   

    middle_layer_neuron_0.addInConnection(input_layer_neuron_0, 1.0);
   
    middle_layer_neuron_1.addInConnection(input_layer_neuron_0, 1.0);
    middle_layer_neuron_1.addInConnection(input_layer_neuron_1, 1.0);
   
    middle_layer_neuron_2.addInConnection(input_layer_neuron_0, 1.0);
    middle_layer_neuron_2.addInConnection(input_layer_neuron_1, 1.0);
    middle_layer_neuron_2.addInConnection(input_layer_neuron_2, 1.0);
   
   
   
   
    input_layer_neuron_0.setInput(0.2d);
    input_layer_neuron_1.setInput(0.2d);
   
    input_layer_neuron_2.setInput(0.3d);
   
   
/*   
   
    assertEquals( 0.2f, input_layer_neuron_0.getNetInput(), 0.0001f );
   
    input_layer_neuron_0.calcOutput();
    double n0_out = input_layer_neuron_0.getOutput();
   
    assertEquals(0.2f, n0_out, 0.000001f);
*/
    // ------ test: Middle Layer > Neuron 1 ----------
   
    input_layer_neuron_0.calcOutput();
    input_layer_neuron_1.calcOutput();
   
//    System.out.println("\n\n\n> CalcOutput --------");
    middle_layer_neuron_1.calcOutput();
    double n1_1_out = middle_layer_neuron_1.getOutput();
   
//    System.out.println("> CalcOutput --------\n\n");
//    assertEquals(0.4f, n1_1_out, 0.000001f);
   
    System.out.println("out: " + n1_1_out );

    // ------ test: Middle Layer > Neuron 2 ----------
   
    input_layer_neuron_2.calcOutput();

    middle_layer_neuron_2.calcOutput();
    double n2_1_out = middle_layer_neuron_2.getOutput();
   
//    System.out.println("> CalcOutput --------\n\n");
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