Assign different input using for loop

Hi,

This is probably a simple question for most of you but I've been struggling with it for far too long. I have several lines of codes which will eventually get an output(O). When I only use a single input(in), the codes work fine but let's say I want to use a vector as an input and get an output with the same size as the input vector (each value in input vector will get corresponding output), how should I go about it? I've tried using for loop but no luck.

%%Loading variables
weight = unifrnd(-10, 10, [1 13]); 
W1 = weight(1,1:4);                 % Input Layer Weight
W2 = weight(1,5:8);                 % Input Layer Bias
W3 = weight(1,9:12)                 % Hidden Layer Weight
W4 = weight(1,13);                  % Hidden Layer Bias

I.I = W1.*in                    % Input x weight
I.B = W2;                       % Bias
H.SUM = I.I+I.B;                % Hidden Neuron
H = tansig (H.SUM)              % Hidden Neuron Squashed

O.SUM = dot(H,W3') + W4         % Hidden Neuron x Weight + Bias
O = purelin (O.SUM)             % Output Neuron

Answer 1

[Rahul Kalampattel]

I edited three lines (the commented out ones), the code now allows you to enter a row vector of inputs and returns a row vector of outputs. The variables I.I and I.B are now matrices; you could do achieve the same result with for loops, but I think it's faster this way.

%%Loading variables
weight = unifrnd(-10, 10, [1 13]);
W1 = weight(1,1:4);                 % Input Layer Weight
W2 = weight(1,5:8);                 % Input Layer Bias
W3 = weight(1,9:12);                % Hidden Layer Weight
W4 = weight(1,13);                  % Hidden Layer Bias

%I.I = W1.*in
I.I = W1'*in                        % Input x weight

%I.B = W2
I.B = repmat(W2',1,length(in))      % Bias

H.SUM = I.I+I.B                     % Hidden Neuron
H = tansig (H.SUM)                  % Hidden Neuron Squashed

%O.SUM = dot(H,W3') + W4
O.SUM = W3*H + W4                   % Hidden Neuron x Weight + Bias

O = purelin (O.SUM)                 % Output Neuron

[Mark Ruben]

You're awesome man! Also do you know how I import a column from Excel and then transpose it into a row vector. I tried to use the dataset function then transposing it using "'" but it's causing an error, "too many output argument".

[Rahul Kalampattel]

You can use xlsread to read data from Excel spreadsheets (see documentation), something like this:

 data = xlsread('testSpreadsheet');

Once you've done that, you can transpose columns into rows with

data = data';