MATLAB Neural Network - Forward Propagation - matlab

Question

I am creating a Forward Propagation In the feedforward step, an input pattern is propagated through the network to obtain an output. I have written this in pseudo code and currently attempting to implement this within MATLAB.
There are two errors I currently receive.
Patterns = x'; Desired = y; NHIDDENS = 1; prnout=Desired;
% Patterns become x so number of inputs becomes size of patterns
[NINPUTS,NPATS] = size(Patterns); [NOUTPUTS,NP] = size(Desired);
%apply the backprop here...
LearnRate = 0.15; Momentum = 0; DerivIncr = 0; deltaW1 = 0; deltaW2 = 0;
% Keeps the tan ordering of the examples of x
Inputs1= [Patterns;ones(1,NPATS)]; %Inputs1 = [ones(1,NPATS); Patterns];
% Weight initialisation
Weights1 = 0.5*(rand(NHIDDENS,1+NINPUTS)-0.5);
Weights2 = 0.5*(rand(1,1+NHIDDENS)-0.5);
TSS_Limit = 0.02;
for epoch = 1:10
% FORWARD LOOP
size(NOUTPUTS)
size(NPATS)
for ii = 0: ii < length(NINPUTS)
NOUTPUTS(ii+1) = NPATS(ii);
% Sets bias to 1
NOUTPUTS(1) = 1;
end
for ii = NHIDDENS: ii < NINPUTS
sum = 0;
for ij = 0: ij < ii
sum = sum + deltaW1(ii,ij) * NOUTPUTS(ij);
NOUTPUTS(ii) = tanh(sum);
end
end
Unable to perform assignment because the
left and right sides have a different
number of elements.
Error in mlpts (line 66)
NOUTPUTS(i+1) = NPATS(i);
i am still new to MATLAB and trying to become use to it.
After iterating through the loop
NOUTPUTS = 0 and the error is displayed. I am confused as I am trying to increment NOUTPUTS with ii by 1 through each loop.

Answer 1

I have been able to create the forward propagation with a loop.
for i =3:NNODES
summ = 0;
for j=1:i-1
summ = summ + weights(i,j) * Node_outputs(j);
end
if i == NNODES
Node_outputs(i) = summ
else
Node_outputs(i) = sigmoid(summ);
end
end
Out = Node_outputs(NNODES);
% BOut = ((Node_outputs(NNODES)) * (1 - Node_outputs));
BOut=zeros(1,6);
DeltaWeight = zeros(6,6);