Neural Network Design.

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

Answer 1

[Greg Heath]

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