ANN FeedForward Backpropagation Levenberg–Marquardt algorithm training function
W = ann_FFBP_lm(P,T,N) W = ann_FFBP_lm(P,T,N,af,mu,mumax,theta,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
lm mu value
Maximum allowed mu value
mu mutiplier
Maximum iteration
Minumum Error (Performance Goal)
Minimum Gradient
Output Weight and bias
This function perform FeedForward Backpropagation with Levenberg–Marquardt algorithm training function.