public void LearnSample()
{
try
{
FullyConnectedNetwork net = new FullyConnectedNetwork(2,
2, 2, 1);
BackPropagationGradiant teacher = new BackPropagationGradiant(net);
double[] ZeroInput = new double[] { 0, 0 };
double[] OutputsZeroInput = new double[] { 0 };
net.ComputeOutputs(ZeroInput);
Assert.AreEqual(0, teacher.ComputeQuadraticError(OutputsZeroInput)); //should equals because 0
Sample sample1 = new Sample()
{
Inputs = ZeroInput,
Outputs = OutputsZeroInput
};
teacher.LearnOneSample(sample1);
double[] OnesInput = new double[] { 1, 1 };
double[] OutputsOnesInput = new double[] { 1 };
net.ComputeOutputs(OnesInput);
double errorNoLearn = teacher.ComputeQuadraticError(OutputsOnesInput);
Assert.AreNotEqual(0, errorNoLearn);
Sample sample2 = new Sample()
{
Inputs = OnesInput,
Outputs = OutputsOnesInput
};
teacher.LearnOneSample(sample2);
net.ComputeOutputs(OnesInput);
double errorLearn = teacher.ComputeQuadraticError(OutputsOnesInput);
Assert.IsTrue(errorLearn < errorNoLearn);
}
catch (Exception ex)
{
Assert.Fail(ex.ToString());
}
}
