public void LoadNNDatasource(string fileName, int expectedNumInputs, int expectedOutputs)
{
string[] allLines = File.ReadAllLines(fileName);
for (int i = 0; i < allLines.Length; i++)
{
NNDataSource item = new NNDataSource(allLines[i], expectedNumInputs, expectedOutputs);
neuralNetDataSource.Add((T)item);
}
}
/// <summary>
/// Returns the prediction of the network for a given input.
/// </summary>
/// <param name="dataSource"></param>
/// <returns></returns>
public double[] getNetworkPrediction(NNDataSource dataSource)
{
double[] networkOutputs = new double[OUTPUT_NEURONS];
double[] networkInputs = new double[INPUT_NEURONS];
dataSource.returnInput(ref networkInputs);
network.Compute(networkInputs, networkOutputs);
if (networkOutputs.Length != OUTPUT_NEURONS)
throw new Exception("Unexpected number of network ouputs.");
return networkOutputs;
}