nn_sim.m

来自「基于BP模型的神经网络模型」· M 代码 · 共 14 行

function f=NN_sim(network,data)

Y = data.target';

for i=1:length(Y)
    s = 0;
    for j=1:network.regressors
        s = s + network.weights(j)*tansig( network.w(j,:) * data.vtraining(:,i)+ network.b(j) );
    end    
    out(i) = s + network.weights(network.regressors+1);
end

f = out;