コード例 #1
0
 public void testAnalyze() {
   BasicNetwork network = EncogUtility.simpleFeedForward(2, 2, 0, 1, false);
   double[] weights = new double[network.encodedArrayLength()];
   EngineArray.fill(weights, 1.0);
   network.decodeFromArray(weights);
   AnalyzeNetwork analyze = new AnalyzeNetwork(network);
   Assert.assertEquals(weights.length, analyze.getWeightsAndBias().getSamples());
   Assert.assertEquals(3, analyze.getBias().getSamples());
   Assert.assertEquals(6, analyze.getWeights().getSamples());
 }
コード例 #2
0
 public void testFactoryFeedforward() {
   String architecture = "?:B->TANH->3->LINEAR->?:B";
   MLMethodFactory factory = new MLMethodFactory();
   BasicNetwork network =
       (BasicNetwork) factory.create(MLMethodFactory.TYPE_FEEDFORWARD, architecture, 1, 4);
   Assert.assertTrue(network.isLayerBiased(0));
   Assert.assertFalse(network.isLayerBiased(1));
   Assert.assertTrue(network.isLayerBiased(2));
   Assert.assertEquals(3, network.getLayerCount());
   Assert.assertTrue(network.getActivation(0) instanceof ActivationLinear);
   Assert.assertTrue(network.getActivation(1) instanceof ActivationTANH);
   Assert.assertTrue(network.getActivation(2) instanceof ActivationLinear);
   Assert.assertEquals(18, network.encodedArrayLength());
   Assert.assertEquals(1, network.getLayerNeuronCount(0));
   Assert.assertEquals(3, network.getLayerNeuronCount(1));
   Assert.assertEquals(4, network.getLayerNeuronCount(2));
 }