Does anyone know the code in either perl or C++ for perceptrons?
Perceptrons, for those who don't know, are like electronic neurons in AI.
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Does anyone know the code in either perl or C++ for perceptrons?
Perceptrons, for those who don't know, are like electronic neurons in AI.
Hi
An introductory comment:
If you are just a starter into the world of neuronal networks,
I recommend also to study fluxes in a network in parallel. The
later can be used in large scale "ethernet" networks (in the
end possibly well paid :) ), and the correlations between the two
are large. For a start, check Robert Sedgewick's Algorithms[1].
Well, in any case, Sedgewick's book is a must.
A MATLAB comment:
I have no experience with the c/c++ packages I mention below,
but they made the impression to create a good fundament to built
upon. However, if you have available MATLAB I highly recommend the
neuronal network toolbox[2]. It is easy to develop in this framework
and quite similar to c/c++. And it is an industrial standard.
Some c/c++ packages/libraries:
A collection of basic implementation/algorithms can be found at
neural-networks-at-your-fingertips[3]. A typical project is
Annie[4], some more general machine-learning environment can
be found at Torch[5].
Papers:
If you are already familiar with the backpropagation algorithms,
you may have noticed it is very slow/inefficient in realistic
scenarios. A good paper[6] dealing with its optimization has been written
by Schiffmann (a google for "schiffmann neural network" also is interesting).
A kind of review can be found at the datamininglab[7], which also deal with
global network optimization.
You did not specify your current state of knowledge, so I tried
to cover the whole spectrum a little bit.
Have fun (it's been a while I played with these, but I really enjoyed
it - and got paid at the same time).
Cheers
[1] http://www.amazon.com/exec/obidos/tg...books&n=507846
[2] http://www.mathworks.com/access/help...nnet/nnet.html
[3] http://www.neural-networks-at-your-fingertips.com/
[4] http://annie.sourceforge.net/
[5] http://www.torch.ch/
[6] www.cs.bham.ac.uk/~pxt/NC/schiffmann.bp.pdf
[7] www.datamininglab.com/pubs/Elder92_PRaGNO.pdf
I am relatively completely new to this subject. This fascinates me nonetheless, though!