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Python Neural Genetic Hybrids

Project Description
This package provides the Python “pyneurgen” module, which contains several

classes for implementing grammatical evolution, a form of genetic programming, and classes for neural networks. These classes enable the creation of hybrid models that can embody the strengths of grammatical evolution and neural networks.

While neural networks can be adept at solving non-linear problems, some problems remain beyond reach. For example, a difficult search space can cause suboptimal solutions to be reached. Also, multiobjective problems become extremely difficult, if not impossible. With genetic algorithms, a more thorough search can be made.

Release History

Release History

This version
History Node

0.3.1

History Node

0.3.0

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyneurgen-0.3.1-py2.7.egg (98.1 kB) Copy SHA256 Checksum SHA256 2.7 Egg May 19, 2012
pyneurgen-0.3.1.tar.gz (581.4 kB) Copy SHA256 Checksum SHA256 Source May 19, 2012

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