public void runInstance(TestInstance instance)
{
neuralNet.setInput(instance.Input);
neuralNet.forwardPass();
double[] predicted = neuralNet.Output;
double[] actual = instance.Output;
double[] error = calculateError(actual, predicted);
double totalError = calculateSSE(actual, predicted);
neuralNet.backPropogate(alpha, actual);
}
private void printError(TestInstance instance)
{
neuralNet.setInput(instance.Input);
neuralNet.forwardPass();
double[] predicted = neuralNet.Output;
double[] actual = instance.Output;
double[] error = calculateError(actual, predicted);
double totalError = calculateSSE(actual, predicted);
string a = calculateSSE(actual, predicted) + "\t";
string b = calculateSSE(actual, predicted) + "\t";
for (int i = 0; i < actual.Count(); i++)
{
a += Math.Round(actual[i], 7) + " ";
b += Math.Round(predicted[i], 7) + " ";
}
Console.WriteLine(a + "\n" + b);
neuralNet.backPropogate(alpha, actual);
}
public void add(TestInstance testInstance)
{
Instances.Add(testInstance);
}
