How to use a trained neural network as objective function in fminsearch?
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I have trained a neural network, with input x that is a matrix 12x22000 and a target t 1x22000, and i have got an output y 1x22000, now i want to optimaize one element of my output with the tool fminsearch but i don't know how to write the objective function 'fun'.
What should i put as 'fun'?
x = input;
t = output;
trainFcn = ['trainlm'];
hiddenLayerSize = 50;
net = feedforwardnet(hiddenLayerSize,trainFcn);
net.divideFcn = ['divideblock'];
net.performFcn = 'mse';
[net,tr] = train(net,x,t);
y = net(x);
%now i want use fminsearch(fun,x0,options)
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Matt J
2022년 9월 20일
fminsearch.is unlikely to be able to handle 12 unknowns well. You should probably use fminunc if you have the Optimization Toolbox. Either way, the 'fun' input would be,
fun=@(x) net(x);
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Saurabh Sharma
2023년 12월 16일
편집: Saurabh Sharma
2023년 12월 16일
How can we get a trained Gaussian process regression machine learning model in a mathematical equation form? How to write 'fun' if we want to minimise three or four models at same time?
Thankyou
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