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A very simple and intuitive neural network implementation

4.3 | 15 ratings Rate this file 177 Downloads (last 30 days) File Size: 9.02 KB File ID: #22010 Version: 1.0
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A very simple and intuitive neural network implementation


Carl Löndahl (view profile)


Short code and easy to understand. Example data set provided.

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Short code and easy to understand. Example data set provided.

MATLAB release MATLAB 6.5 (R13)
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Comments and Ratings (20)
22 Feb 2017 deepak singh

thanks that was helpful

31 Jan 2017 Danish Kaleem

30 Dec 2016 dao tung

30 Dec 2016 dao tung

26 Oct 2016 Faceless

This code on may be of helpful:

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24 Oct 2016 Eve

Eve (view profile)

14 Oct 2016 Adam Walsh

05 Aug 2016 Joanie Martineau

11 Jul 2016 Tin Phan

Could you explain to me how n and the function f is chosen? And also the bias too?
Any reference would be much appreciated!

25 Jun 2016 Dang Manh Truong

It seems that your code does not account account for the bias. In a book I read they say you should include an input variable which is clamped to 1. Can you please clarify on that? Thank you very much

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11 Jun 2016 Steve Johnson

06 May 2016 Mari Ganesh Kumar M

10 Dec 2015 José Araujo

07 May 2015 Muhammad Khalid

17 Apr 2015 Jacek

Jacek (view profile)

Can you please give a short description of this problem being solved and meaning of this example data? So we could understand what is the input, what is the output, what are the values od "y" being calculated...? And most importantly, what is the topology, and how propagation works.

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04 Feb 2014 Omer

Omer (view profile)

instead of rms error. How can I optimize this error:
( fp/(fp+tn) ) + ( fn/(fn+tp) );

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27 Apr 2012 Mohammad reza nilchiyan

sorry i don't have any access to this file,could you pl help me in this way?

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27 Feb 2012 Lyuboslav Petrov


19 Jun 2011 Milinda


06 Nov 2008 Abdel-Razzak


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