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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License

GNU General Public License version 2.0 (GPLv2)

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User Reviews

  • 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.
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Additional Project Details

Intended Audience

Science/Research, Developers

Programming Language

Python

Related Categories

Python UML Tool, Python Genetic Algorithms, Python Artificial Intelligence Software

Registered

2008-04-04