Package com.neuralnetwork.shared.network

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

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

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

  /**
   * Test method for {@link com.neuralnetwork
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   */
  @Test
    public final void testToString() {
    INetwork n = new Network(FIVE, FIVE, THREE,
        new int[] {FOUR, TWO, FOUR});
    n.build();
    LOGGER.debug(n.toString());
    assertTrue(
               n.toString().contains(
               "IN(0.0) IN(0.0) IN(0.0) IN(0.0) IN(0.0)"));
  }
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        INetwork n = new Network(Constants.FIVE, Constants.FIVE,
                                 Constants.THREE,
                                 new int[] {Constants.FOUR,
                                            Constants.TWO,
                                            Constants.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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