Python Neural Genetic Algorithm Hybrids

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Description

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.

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  • pppossibilities
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    The examples on the PyNeurGen website and in the source are excellent. However, I would like to see a new version which takes advantage of multiprocessing to speed up evaluation time.

    Posted 10/02/2013
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Additional Project Details

Intended Audience

Developers, Science/Research

Programming Language

Python

Registered

2008-04-04
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