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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Accepted Answer

Matt J
Matt J on 20 Sep 2022
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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