How can I use the trained weights of a neural network

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David Franco 2020-10-1

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https://ww2.mathworks.cn/matlabcentral/answers/602881-how-can-i-use-the-trained-weights-of-a-neural-network

回答： David Franco 2020-10-1

采纳的回答： David Franco

How can I use the trained weights of a neural network to simulate the output of a classification problem?

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Answer 1

David Franco 2020-10-1

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/602881-how-can-i-use-the-trained-weights-of-a-neural-network#answer_503317

在 MATLAB Online 中打开

I found the answer (output and yy are equal):

% Simulated a Neural Network
clear
close
clc
rng default
[x,y] = simpleclass_dataset;
neurons = 10;
net = feedforwardnet(neurons);
net = train(net,x,y);
outputs = sim(net,x);
% outputs = round(outputs);
figure, plotconfusion(y,outputs)
w1 = net.IW{1,1};
w2 = net.LW{2,1};
b1 = net.b{1};
b2 = net.b{2};
xx = x;
for ii = 1:length(net.inputs{1}.processFcns)
    xx = feval(net.inputs{1}.processFcns{ii},...
        'apply',xx,net.inputs{1}.processSettings{ii});
end
a1 = tanh(w1*xx + b1);
yy = purelin(w2*a1 + b2);
for mm = 1:length(net.outputs{1,2}.processFcns)
    yy = feval(net.outputs{1,2}.processFcns{mm},...
        'reverse',yy,net.outputs{1,2}.processSettings{mm});
end
figure, plotconfusion(y,yy)