Drexel dragonThe Math ForumDonate to the Math Forum

Search All of the Math Forum:

Views expressed in these public forums are not endorsed by Drexel University or The Math Forum.

Math Forum » Discussions » Software » comp.soft-sys.matlab

Topic: neural network input
Replies: 1   Last Post: Feb 21, 2013 8:44 PM

Advanced Search

Back to Topic List Back to Topic List Jump to Tree View Jump to Tree View   Messages: [ Previous | Next ]
Greg Heath

Posts: 6,263
Registered: 12/7/04
Re: neural network input
Posted: Feb 21, 2013 8:44 PM
  Click to see the message monospaced in plain text Plain Text   Click to reply to this topic Reply

"srishti " <srishti.sondele@gmail.com> wrote in message <kg30rq$5i3$1@newscl01ah.mathworks.com>...
> hi everyone,
> I am using Empirical mode decomposition, for feature extraction of an image, I will take first three IMFs, then suppose I want to take statistical features like mean, standard deviation,energy . So can anybody suggest me how to prepare that data for neural network classifier input ?

If you have N samples of I features, the size of the input matrix is

[ I N ] = size(input)

The size of the corresponding target matrix for c classes is

[ c N ] = size(target)

The target columns are columns of the c-dimensional unit matrix eye(c) with the row index of the 1 indicating the class index of the corresponding input vector.

See the classification/pattern-recognition demos using patternnet.

help/doc patternnet
help/doc nndatasets

Hope this helps.


Date Subject Author
Read neural network input
Read Re: neural network input
Greg Heath

Point your RSS reader here for a feed of the latest messages in this topic.

[Privacy Policy] [Terms of Use]

© Drexel University 1994-2015. All Rights Reserved.
The Math Forum is a research and educational enterprise of the Drexel University School of Education.