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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.

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Files for pyneurgen, version 0.3.1
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Filename, size pyneurgen-0.3.1-py2.7.egg (98.1 kB) File type Egg Python version 2.7 Upload date Hashes View hashes
Filename, size pyneurgen-0.3.1.tar.gz (581.4 kB) File type Source Python version None Upload date Hashes View hashes

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