// 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); }