for the following Time delay neural network
clc; clear all; close all;
[X,T] = simpleseries_dataset;
net1 = timedelaynet(1:2,20);
[Xs,Xi,Ai,Ts] = preparets(net1,X,T);
net1 = train(net1,Xs,Ts,Xi);
y1 = net1(Xs,Xi);
view(net1)
weights1 = getwb(net1)
According to my understanding; the input to this network supposed to be the current input and the previous inputs X(n), X(n-1), X(n-2)
Hence the number of weights supposed to be (3x20 +20x1) and the bias (20+1) , hence the vector od weights and bias suppoed to a vector with length = 101
But, when I use the getwb(net1) I get vector with length = 81 ??!!
why he neglect the weights of one sample
