Package org.encog.engine.network.activation

Examples of org.encog.engine.network.activation.ActivationGaussian

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    if (name.equalsIgnoreCase(MLActivationFactory.AF_COMPETITIVE)) {
      return new ActivationCompetitive();
    }

    if (name.equalsIgnoreCase(MLActivationFactory.AF_GAUSSIAN)) {
      return new ActivationGaussian();
    }

    if (name.equalsIgnoreCase(MLActivationFactory.AF_LINEAR)) {
      return new ActivationLinear();
    }
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public class TestActivationGaussian extends TestCase {
 
  @Test
  public void testGaussian() throws Throwable
  {
    ActivationGaussian activation = new ActivationGaussian(0.0,0.5,1.0);
    Assert.assertTrue(activation.hasDerivative());
   
    ActivationGaussian clone = (ActivationGaussian)activation.clone();
    Assert.assertNotNull(clone);
   
    double[] input = { 0.0  };
   
    activation.activationFunction(input,0,input.length);
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      break;
    case 1:
      newActivation = new ActivationCompetitive();
      break;
    case 2:
      newActivation = new ActivationGaussian(0, 1, 1);
      break;
    case 3:
      newActivation = new ActivationLinear();
      break;
    case 4:
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    if (name.equalsIgnoreCase(MLActivationFactory.AF_COMPETITIVE)) {
      return new ActivationCompetitive();
    }

    if (name.equalsIgnoreCase(MLActivationFactory.AF_GAUSSIAN)) {
      return new ActivationGaussian();
    }

    if (name.equalsIgnoreCase(MLActivationFactory.AF_LINEAR)) {
      return new ActivationLinear();
    }
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public class TestActivationGaussian extends TestCase {
 
  @Test
  public void testGaussian() throws Throwable
  {
    ActivationGaussian activation = new ActivationGaussian();
    Assert.assertFalse(!activation.hasDerivative());
   
    ActivationGaussian clone = (ActivationGaussian)activation.clone();
    Assert.assertNotNull(clone);
   
    double[] input = { 0.0  };
   
    activation.activationFunction(input,0,input.length);
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   */
  public static void buildCPPNActivationFunctions(
      final ChooseObject<ActivationFunction> activationFunctions) {
    activationFunctions.add(0.25, new ActivationClippedLinear());
    activationFunctions.add(0.25, new ActivationBipolarSteepenedSigmoid());
    activationFunctions.add(0.25, new ActivationGaussian());
    activationFunctions.add(0.25, new ActivationSIN());
    activationFunctions.finalizeStructure();
  }
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Related Classes of org.encog.engine.network.activation.ActivationGaussian

  • org.encog.neural.activation.TestActivationGaussian
  • org.encog.neural.hyperneat.HyperNEATGenome
  • org.encog.plugin.system.SystemActivationPlugin
  • org.encog.workbench.dialogs.activation.ActivationDialog
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