/// <summary>
/// 初始化网络参数
/// </summary>
private void InitialMatrix()
{
Random rnd = new Random(DateTime.Now.Second);
for (int i = 0; i < Hidden_Layer_Count; i++)
{
for (int j = 0; j < Input_Layer_Count; j++)
{
Input_Hiddene_Coefficient_Matrix.item[i, j] = (rnd.NextDouble() - 0.5) / (1 + 0.001 * i);
}
}
for (int k = 0; k < Output_Layer_Count; k++)
{
for (int i = 0; i < Hidden_Layer_Count; i++)
{
Hidden_Output_Coefficient_Matrix.item[k, i] = rnd.NextDouble() - 0.5;
}
}
for (int i = 0; i < Hidden_Layer_Count; i++)
{
Hidden_Offset_Vector.item[i] = rnd.NextDouble() - 0.5;
}
for (int k = 0; k < Output_Layer_Count; k++)
{
Output_Offset_Vector.item[k] = rnd.NextDouble() - 0.5;
}
for (int k = 0; k < Hidden_Layer_Count; k++)
{
Logsig logsig = new Logsig();
FirstNeuronVector[k] = logsig;
}
for (int k = 0; k < Output_Layer_Count; k++)
{
Pureline pureline = new Pureline();
SecondNeuronVector[k] = pureline;
}
}
/// <summary>
/// 初始化网络参数
/// </summary>
private void InitialMatrix()
{
Random rnd = new Random(DateTime.Now.Second);
for (int i = 0; i < Hidden_Layer_Count; i++)
{
for (int j = 0; j < Input_Layer_Count; j++)
{
Input_Hiddene_Coefficient_Matrix.item[i, j] = rnd.NextDouble() - 0.5;
}
}
for (int k = 0; k < Output_Layer_Count; k++)
{
for (int i = 0; i < Hidden_Layer_Count; i++)
{
Hidden_Output_Coefficient_Matrix.item[k, i] = rnd.NextDouble() - 0.5;
}
}
//for (int i = 0; i < Hidden_Layer_Count; i++)
// Hidden_Offset_Vector.item[i] = rnd.NextDouble() - 0.5;
for (int k = 0; k < Output_Layer_Count; k++)
{
Output_Offset_Vector.item[k] = rnd.NextDouble() - 0.5;
}
for (int k = 0; k < Hidden_Layer_Count; k++)
{
Legendre legendre = new Legendre();
legendre.K = k;
FirstNeuronVector[k] = legendre;
}
for (int k = 0; k < Output_Layer_Count; k++)
{
Pureline pureline = new Pureline();
SecondNeuronVector[k] = pureline;
}
}
