private void FeedForwardCalculation(int j) {
// [0,0] add a bias at the front [1,0,0]
matrix_InputLayerInputSignal = SupportFunction.createInputMatrix(inputPatterns[j]);
// input multiply with weight matrix
matrix_HiddenLayerInputSignal =
MatrixMath.multiply(matrix_InputLayerInputSignal, martix_weight_InputHidden);
// pass the Hidden Layers input through the activation function and add
// a bias at first
for (int i = 0; i < matrix_HiddenLayerInputSignal.getCols(); i++) {
matrix_HiddenLayerOutputSignal.set(
0, i + 1, SupportFunction.sigmoid(matrix_HiddenLayerInputSignal.get(0, i)));
matrix_HiddenLayerOutputSignal.set(0, 0, 1); // add bias at the
// front
}
// get output result
matrix_OutputLayerInputSignal =
MatrixMath.multiply(matrix_HiddenLayerOutputSignal, matrix_weight_HiddenOutput);
// pass the output result through a activation function
actualOutput = SupportFunction.sigmoid(matrix_OutputLayerInputSignal.get(0, 0));
}
private void weightMatrixUpdate() {
martix_weight_InputHidden =
MatrixMath.add(
martix_weight_InputHidden,
MatrixMath.multiply(matrix_weight_privious_delta_InputHidden, argMomentum));
martix_weight_InputHidden =
MatrixMath.add(martix_weight_InputHidden, matrix_weight_delta_InputHidden);
matrix_weight_HiddenOutput =
MatrixMath.add(
matrix_weight_HiddenOutput,
MatrixMath.multiply(matrix_weight_privious_delta_HiddenOutput, argMomentum));
matrix_weight_HiddenOutput =
MatrixMath.add(matrix_weight_HiddenOutput, matrix_weight_delta_HiddenOutput);
matrix_weight_privious_delta_InputHidden =
MatrixMath.add(
matrix_weight_delta_InputHidden,
MatrixMath.multiply(matrix_weight_privious_delta_InputHidden, argMomentum));
matrix_weight_privious_delta_HiddenOutput =
MatrixMath.add(
matrix_weight_delta_HiddenOutput,
MatrixMath.multiply(matrix_weight_privious_delta_HiddenOutput, argMomentum));
}
