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Topic: feed-forward back-propogation network
Replies: 1   Last Post: Apr 23, 2013 1:00 AM

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Greg Heath

Posts: 6,387
Registered: 12/7/04
Re: feed-forward back-propogation network
Posted: Apr 23, 2013 1:00 AM
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"saad elazzouzi" wrote in message <kl3mf1$ive$>...
> hi,
> I am trying to create a feed-forward back-propogation network with
> 3 inputs vetcors, 2 hidden layer with 7 nodes, and 2 output vectors .

Incorrect. You have

50 3-dimensional input vectors.
50 2-dimensional target vectors
1 hidden layer with 7 nodes
1 output layer with 2 nodes
1 fan-in unit input with 3 nodes (I do not like this notation either)

> P=vibrationdata(1:50,1:2:3);

>> 1:2:3
ans = 1 3

> net=newff(minmax(pn),[7 1],{'tansig','tansig'},'traingdm')


net=newff( minmax(pn), [ 7 2 ], {'tansig','tansig'}, 'traingdm' ); % note "2" and semicolon

Hope this helps.


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