public FeedforwardNeuronalNetworkResult <double> Predict(double[] inputValues) { var classifier = neuronalNetwork.Classify(inputValues); FeedforwardNeuronalNetworkResult <double> feedforwardNeuronalNetworkResult = new FeedforwardNeuronalNetworkResult <double>(); feedforwardNeuronalNetworkResult.OutputValues = classifier; feedforwardNeuronalNetworkResult.PredictedValue = classifier[0]; return(feedforwardNeuronalNetworkResult); }
public FeedforwardNeuronalNetworkResult <double> Classify(double[] inputValues) { var classifier = neuronalNetwork.Classify(inputValues); FeedforwardNeuronalNetworkResult <double> feedforwardNeuronalNetworkResult = new FeedforwardNeuronalNetworkResult <double>(); feedforwardNeuronalNetworkResult.OutputValues = classifier; for (int i = 0; i < classifier.Length; i++) { var actualResult = classifier[i]; if (feedforwardNeuronalNetworkResult.MaxValue < actualResult) { feedforwardNeuronalNetworkResult.MaxValue = actualResult; feedforwardNeuronalNetworkResult.MaxValueOutputPosition = i; } } return(feedforwardNeuronalNetworkResult); }