public BPNN(int inputLayerNum, int[] hiddenLayerNum, int outputLayersNum, double eta, double lastEta)
{
OtherHelper otherHelper = new OtherHelper();
this.eta = eta;
this.lastEta = lastEta;
i_input = new double[inputLayerNum + 1];
i_output = new double[inputLayerNum + 1];
h_input = new double[hiddenLayerNum.Length][];
h_output = new double[hiddenLayerNum.Length][];
h_weights = new double[hiddenLayerNum.Length][, ];
h_lastTheta = new double[hiddenLayerNum.Length][, ];
for (int i = 0; i < hiddenLayerNum.Length; i++)
{
h_input[i] = new double[hiddenLayerNum[i] + 1];
h_output[i] = new double[hiddenLayerNum[i] + 1];
int row = 0;
int col = 0;
if (i == 0) //为零时时输入层
{
row = inputLayerNum + 1;
col = hiddenLayerNum[i];
}
else
{
row = hiddenLayerNum[i - 1] + 1;
col = hiddenLayerNum[i];
}
h_weights[i] = new double[row, col];
h_lastTheta[i] = new double[row, col];
for (int j = 0; j < row; j++)
{
for (int k = 0; k < col; k++)
{
h_weights[i][j, k] = OtherHelper.getRandDouble(-200, 201);
h_lastTheta[i][j, k] = 0;
}
}
}
o_input = new double[outputLayersNum];
o_output = new double[outputLayersNum];
o_weights = new double[hiddenLayerNum[hiddenLayerNum.Length - 1] + 1, outputLayersNum];
o_lastTheta = new double[hiddenLayerNum[hiddenLayerNum.Length - 1] + 1, outputLayersNum];
for (int i = 0; i < o_weights.GetLength(0); i++)
{
for (int j = 0; j < o_weights.GetLength(1); j++)
{
o_weights[i, j] = OtherHelper.getRandDouble(-20, 20);
o_lastTheta[i, j] = 0;
}
}
}