public void ComputeOutput(sNeuralInput oInput, sNeuralOutput oOutput) { //clear the output structure oOutput.fOutputs.Clear(); //init network InitialiseNetwork(); //fill input nodes for (int lIndex = 0; lIndex < (int)oInput.fInputs.Count && lIndex < (int)InputNodes.Count; lIndex++) { InputNodes[lIndex].SetValue(oInput.fInputs[lIndex]); } //compute output nodes foreach (Node Node in OutputNodes) { oOutput.fOutputs.Add(ComputeNode(Node.Id)); } }
public LearningData() { oInput = new sNeuralInput(); oOutput = new sNeuralOutput(); }