- 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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Release files for pyneurgen 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyneurgen-0.3.1.tar.gz | 581.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyneurgen-0.3.1-py2.7.egg | Legacy Egg format | - | - | Details |
Total release size: 679.5 kB
Release files / pyneurgen-0.3.1.tar.gz
| Download URL | pyneurgen-0.3.1.tar.gz |
|---|---|
| Size | 581.4 kB |
| Tags | Source |
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Release files / pyneurgen-0.3.1-py2.7.egg
| Download URL | pyneurgen-0.3.1-py2.7.egg |
|---|---|
| Size | 98.1 kB |
| Tags | Egg |
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