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24 lines
638 B
Matlab
24 lines
638 B
Matlab
function [W,V,U]=weight_initialisation_random(n,m,wMean,wStd)
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if nargin<3, wMean=0; end
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if nargin<4, wStd=0.1; end
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%wStd=1/sqrt(m)
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%wStd=0.1
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W=gaussian_weights(n,m,wMean,wStd);
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V=gaussian_weights(n,m,wMean,wStd);
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U=gaussian_weights(n,m,wMean,wStd);
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%W=gamma_weights(n,m,2,0.05);
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%V=gamma_weights(n,m,2,0.05);
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%U=gamma_weights(n,m,2,0.05);
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function W=gaussian_weights(n,m,wMean,wStd)
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W=wMean+wStd.*randn(n,m,'single'); %Gaussian distributed weights with given
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W(W<0)=0; %mean and standard deviation
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function W=gamma_weights(n,m,A,B)
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W=single(gamrnd(A,B,n,m)); %Gamma distributed weights
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W(W<0)=0;
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