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POMatlab Multilayer Perceptron Question
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7385570
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2011-09-12T09:09:13.133
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2011-09-12T11:20:49.460
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I need to classify a dataset using Matlab MLP and show classification. The dataset looks like <a href="http://i.stack.imgur.com/JoM7z.png" rel="nofollow">Click to view</a> What I have done so far is: <ol> <li>I have create an neural network contains a hidden layer (two neurons ?? maybe someone could give me some suggestions on how many neurons are suitable for my example) and a output layer (one neuron).</li> <li>I have used several different learning methods such as Delta bar Delta, backpropagation (both of these methods are used with or -out momentum and Levenberg-Marquardt.)</li> </ol> This is the code I used in Matlab(Levenberg-Marquardt example) <pre><code>net = newff(minmax(Input),[2 1],{'logsig' 'logsig'},'trainlm'); net.trainParam.epochs = 10000; net.trainParam.goal = 0; net.trainParam.lr = 0.1; [net tr outputs] = train(net,Input,Target); </code></pre> The following shows hidden neuron classification boundaries generated by Matlab on the data, I am little bit confused, beacause network should produce nonlinear result, but the result below seems that two boundary lines are linear.. <a href="http://i.stack.imgur.com/a5bOm.png" rel="nofollow">Click to view</a> The code for generating above plot is: <pre><code>figure(1) plotpv(Input,Target); hold on plotpc(net.IW{1},net.b{1}); hold off </code></pre> I also need to plot the output function of the output neuron, but I am stucking on this step. Can anyone give me some suggestions? Thanks in advance.
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<matlab><neural-network>
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Matlab Multilayer Perceptron Question
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