// INTERNALS
private PongANNOutput Internal_RunANN(PongANNInput i_Input)
{
float[] inputs = new float[1];
inputs = applyLogic(i_Input);
float[] outputs = m_ANN.Run(inputs);
PongANNOutput output = new PongANNOutput();
output.y_competitor = outputs[0];
return(output);
}
private PongANNOutput Internal_TrainANN(PongANNInput i_Input, PongANNOutput i_DesiredOutput)
{
float[] inputs = new float[1];
inputs = applyLogic(i_Input);
float[] desiredOutputs = new float[1];
desiredOutputs[0] = i_DesiredOutput.y_competitor;
float[] outputs = m_ANN.Run(inputs);
ANNFunctionLibrary.AdjustWeights(m_ANN, desiredOutputs);
PongANNOutput output = new PongANNOutput();
output.y_competitor = outputs[0];
return(output);
}
