BAYESIAN OPTIMIZATION OF A NEURAL NETWORK

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GEORGIOS BEKAS 2018-8-7

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https://ww2.mathworks.cn/matlabcentral/answers/413900-bayesian-optimization-of-a-neural-network

评论： Greg Heath 2018-8-7

I wrote the following code to optimize the architecture of a neural network via Bayesian optimization. What's wrong with it?

clc
clear
data = xlsread('Geor.xls')
t = data(:,5)'
x = data(:,1:4)'
trainFcn = 'trainbr'; 
hiddenLayerSize = optimizableVariable('hiddenLayerSize',[1,4]);
net.divideParam.trainRatio = optimizableVariable('net.divideParam.trainRatio',[0.4,0.75]);
vars =[hiddenLayerSize, net.divideParam.trainRatio]
net = fitnet(hiddenLayerSize,trainFcn);
net.divideParam.valRatio = 0.5*(100-net.divideParam.trainRatio*100)/100;
net.divideParam.testRatio =  0.5*(100-net.divideParam.trainRatio*100)/100;
[net,tr] = train(net,x,t);
y = net(x);
e = gsubtract(t,y);
mae = sum(abs(e))/40
performance = perform(net,t,y);
fun = @(x)mae(x, vars)
results = bayesopt(fun,vars)

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Greg Heath 2018-8-7

在 MATLAB Online 中打开

If you want to use data to explain your problem, use a MATLAB set:

 help nndatasets
and
doc nndatasets

Greg

Greg Heath 2018-8-7

在 MATLAB Online 中打开

 close all, clear all, clc
 x = [-1:.05:1];   % FROM HELP TRAINBR
 t = sin(2*pi*x)+0.1*randn(size(x));
 trainFcn = 'trainbr'; 
 hiddenLayerSize = optimizableVariable ('hiddenLayerSize',[1,4]);
 net.divideParam.trainRatio = optimizableVariable('net.divideParam.trainRatio',[0.4,0.75]);
 vars =[hiddenLayerSize,net.divideParam.trainRatio]
 net = fitnet(hiddenLayerSize,trainFcn);
 Error using fitnet (line 69)
 Parameters.hiddenSizes is not numeric.