Assign different input using for loop
7 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
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
0 commentaires
Réponses (1)
Rahul K
le 15 Fév 2017
Modifié(e) : Rahul K
le 15 Fév 2017
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
Voir également
Catégories
En savoir plus sur Define Shallow Neural Network Architectures dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!