ANN FeedForward Backpropagation Gradient Decent training function.
W = ann_FFBP_gd(P,T,N) W = ann_FFBP_gd(P,T,N,af,lr,itermax,mse_min,gd_min)
Training input
Training target
Number of Neurons in each layer, incluing Input and output layer
Activation Function from 1st hidden layer to the output layer
learning rate
Maximum epoch for training
Minumum Error (Performance Goal)
Minimum Gradient
Output Weight and bias
This function perform FeedForward Backpropagation with Gradient Decent training algorithm, the most basic training function for FFBP series