Python Neural Genetic Hybrids
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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|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|