Python Neural Genetic Hybrids
- 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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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|pyneurgen-0.3.1-py2.7.egg (98.1 kB) Copy SHA256 hash SHA256||Egg||2.7||May 19, 2012|
|pyneurgen-0.3.1.tar.gz (581.4 kB) Copy SHA256 hash SHA256||Source||None||May 19, 2012|