private void OnDisable()
{
if (!IsTraining)
{
NeuralNetworkAPI.ReleaseNeuralNetwork(NeuralNetwork);
}
}
public float[] Compute(float[] Values)
{
IntPtr DataPointer = NeuralNetworkAPI.Compute(NeuralNetwork, Values);
float[] ReturnFloatArray = new float[3];
Marshal.Copy(DataPointer, ReturnFloatArray, 0, 3);
return(ReturnFloatArray);
}
public float ForwardPropagation(float[] inputs, NeuralNetworkActivationFunctionType activationFunctionType)
{
float sum = 0;
#if NETFRAMEWORK
NeuralNetworkAPI.Neuron(inputs, Weights, Weights.Length, ref sum);
#else
for (int i = 0; i < Weights.Length; i++)
{
sum += inputs[i] * Weights[i];
}
;
#endif
return(NeuralNetworkAPI.ActivationFunction(activationFunctionType, sum + Bias));
}
private List <NeuralNetworkAPI.DataSet> DataSetArray; // Data Set 的集合
private void Awake()
{
if (!IsTraining)
{
// 關閉 Recorder
recorder.enabled = false;
// 產生 Neural Network
if (!ReadTrainData())
{
return;
}
//NeuralNetwork = NeuralNetworkAPI.CreateNeuralNetwork(5, 11, 3);
NeuralNetwork = NeuralNetworkAPI.CreateNeuralNetwork(25, 53, 3, 1000, 0.4f, 0.9f);
NeuralNetworkAPI.Train(NeuralNetwork, DataSetArray.ToArray(), DataSetArray.Count);
}
}
