This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.

Project Activity

See All Activity >

Categories

UML, Genetic Algorithms, Artificial Intelligence

License

GNU General Public License version 2.0 (GPLv2)

Follow Python Neural Genetic Algorithm Hybrids

Python Neural Genetic Algorithm Hybrids Web Site

You Might Also Like
The EHR & RCM Transforming Addiction Treatment Centers Icon
The EHR & RCM Transforming Addiction Treatment Centers

For Healthcare and addiction treatment providers looking for a solution to manage their patients and services

AZZLY’s Electronic Health Record and Revenue Cycle Management Software for Addiction Treatment Professionals exists to optimize your outreach, intake, admissions, clinical, medication management, and billing processes.
Learn More
Rate This Project
Login To Rate This Project

User Ratings

5.0 out of 5 stars
★★★★★
★★★★
★★★
★★
★
1
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

Be the first to post a review of Python Neural Genetic Algorithm Hybrids!

Additional Project Details

Intended Audience

Science/Research, Developers

Programming Language

Python

Related Categories

Python UML Tool, Python Genetic Algorithms, Python Artificial Intelligence Software

Registered

2008-04-04
Report inappropriate content