Neural Network Design.
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Please I am designing a simple neural network with the following dimensions: 35 input vectors 10 output neurons 2 hidden layers with 10 neurons each please I need a valid code to execute this design using the feed-forward back propagation algorithm;especially how to set my targets. Also I need parameters to check the network performance especially error rate. I have already done my preprocessing and features extractions. Thank you very much and I look forward to constructive ideas
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Greg Heath
2011-12-3
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Insufficient Information.
What versions of Matlab & NNToolbox?
What kind of physical problem are you trying to solve?
Regression or Classification?
What are your inputs and outputs?
Number of input/output training pairs: Ntrn = 35
Input vector dimensionality: I = ?
Output vector dimensionality: O = 10
One hidden layer is sufficent; For I-H-O node topology:
Number of training equations Neq = Ntrn*O
Number of unknown weights Nw = (I+1)*H+(H+1)*O
For robust solution want Neq >> Nw or
H << (Neq-O)/(I+O+1)
size(p) = [I Ntrn]
size(t) = [O Ntrn]
See NNTB documentation for examples.
For additional examples, search the Newsgroup using
heath newff close clear
Hope this helps.
Greg
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2011-12-3
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