MATLAB Neural Network - Forward Propagation

I am trying to implement a forward propogation with a foor loop as advices on neural smithing. I keep recieveing an error when iterating through my for loop. How do I get rid of this error.

I have checked the sizes for both NOUTPUTS(i+1) and NPATS(i) which both are = 1 however keep receiving this error.

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);

Answer 1

[Swetha Polemoni]

Hi,

You might want to check on the format of for loops you have used(for ii = 0: ii < length(NINPUTS)). This can be replaced with following code snippet.

ii = intial value;
while condition

end

[Erica Dos Santos Saraiva]

Do you know how to implement a for loop for forward propogation?