MATLAB: More than one hidden layer

hidden layersneural network

Hi, I am using the command net =newff(p,t,3);

So, my neural netwok has one hidden layer with 3 neurons.How can i increase the number of hiiden layers?

And how can change the activations functions from default?

Please i need an example.

Thanks

Best Answer

Dimitris used the older version of newff

net = newff(minmax(p),[H1 H2 O],{'tansig' 'tansig' 'tansig'});

for a net with I-H1-H2-O node topology. The newer version is

net = newff(p,t,[H1 H2],{'tansig' 'tansig' 'tansig'});

Hope this helps.

Greg

Related Solutions

MATLAB: How to create a neural network with 1 layer only (no hidden layers)

 net = fitnet([]);     % For regression
 net = patternnet([]); % For classification

Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: Weights don’t initialize.

No.

Multilayer percetron doesn't contain 'hardlim'(hardlim -is capable to classify only linearly separable set. Two or more layers in network - aren't separable linearly. ). Using 'logsig'.

The equivalent network - multilayer percetron.

P =[0 1 0 1; 0 0 1 1];
T = [0 0 0 1];
net=newff(minmax(P),[2,10,1],{'logsig','logsig','logsig'},'trainbfg');
net.trainParam.epochs = 100;
net = init (net);
net.IW{1,1}, net.IW{2,1}, 
  net.LW{3,2}
  net.b{1}, net.b{3}
net=train(net,P,T);
a = sim(net,P)

'trainbfg' – back propagation learning.

Error in network design.

Best Answer

Related Solutions

MATLAB: How to create a neural network with 1 layer only (no hidden layers)

MATLAB: Weights don’t initialize.

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