📄 backprop.m
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function [upred,usig]=backprop(t,kin,beta);
% function to calculate backpropagation network output
% kin are the input weights and beta are the output weights on sigmoids.
% The first element of beta is bias on the output.
% Copyright
% Thomas Mc Avoy
% 1994
[m1,m2]=size(t);
T=[ones(m1,1),t];
Z=T*kin;
sig=[(1-exp(-Z))./(1+exp(-Z))];
usig=[ones(size(t)),sig];
% usig equals the output of sigmoids plus a bias
upred=usig*beta;
% upred is the predicted u output
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