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Fixes for ANN serialization and unit tests.

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This commit is contained in:
Woody Folsom
2014-12-30 17:29:52 -05:00
parent 14bc769493
commit 70c7d7d9b1
8 changed files with 21 additions and 15 deletions
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13
test/net/woodyfolsom/msproj/ann/MultiLayerPerceptronTest.java
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@@ -70,10 +70,10 @@ public class MultiLayerPerceptronTest {
@Test
public void testCompute() {
FeedforwardNetwork mlp = new MultiLayerPerceptron(true, 2, 2, 1);
NNDataPair expected = new NNDataPair(new NNData(new String[]{"x","y"}, new double[]{0.0,0.0}),new NNData(new String[]{"xor"}, new double[]{0.0}));
NNDataPair expected = new NNDataPair(new NNData(new String[]{"x","y"}, new double[]{0.0,0.0}),new NNData(new String[]{"xor"}, new double[]{0.5}));
NNDataPair actual = new NNDataPair(new NNData(new String[]{"x","y"}, new double[]{0.0,0.0}),new NNData(new String[]{"xor"}, new double[]{0.5}));
NNData actualOutput = mlp.compute(actual);
assertEquals(expected.getIdeal(), actualOutput);
assertEquals(expected.getIdeal().getValues()[0], actualOutput.getValues()[0], EPS);
}
@Test
@@ -87,16 +87,9 @@ public class MultiLayerPerceptronTest {
for (Connection connection : mlp.getConnections()) {
System.out.println(connection);
}
NNDataPair expected = new NNDataPair(new NNData(new String[]{"x","y"}, new double[]{0.0,0.0}),new NNData(new String[]{"xor"}, new double[]{0.367610}));
NNDataPair expected = new NNDataPair(new NNData(new String[]{"x","y"}, new double[]{0.0,0.0}),new NNData(new String[]{"xor"}, new double[]{0.263932}));
NNDataPair actual = new NNDataPair(new NNData(new String[]{"x","y"}, new double[]{0.0,0.0}),new NNData(new String[]{"xor"}, new double[]{0.0}));
NNData actualOutput = mlp.compute(actual);
assertEquals(expected.getIdeal().getValues()[0], actualOutput.getValues()[0], EPS);
}
/**
*
Hidden Neuron 1: w2(0,1) = 0.341232 w2(1,1) = 0.129952 w2(2,1) =-0.923123
Hidden Neuron 2: w2(0,2) =-0.115223 w2(1,2) = 0.570345 w2(2,2) =-0.328932
Output Neuron: w3(0,1) =-0.993423 w3(1,1) = 0.164732 w3(2,1) = 0.752621
*/
}