hop_stor.m
来自「matlab神经网络代码」· M 代码 · 共 21 行
M
21 行
function W=hop_stor(P)% function W=hop_stor(P)%% performs the storage (learning phase) for a Hopfield network %% W - weight matrix% P - patterns to be stored (column wise matrix)%% Hugh Pasika 1997[n p]=size(P); W=zeros(n,n);for j=2:n, for i=1:j-1, W(i,j)=dot(P(i,:),P(j,:))/n; W(j,i)=W(i,j); endend
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