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 >

License

GNU General Public License version 2.0 (GPLv2)

Follow Python Neural Genetic Algorithm Hybrids

Python Neural Genetic Algorithm Hybrids Web Site

Other Useful Business Software
SoftCo: Enterprise Invoice and P2P Automation Software Icon
SoftCo: Enterprise Invoice and P2P Automation Software

For companies that process over 20,000 invoices per year

SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
Learn More
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
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

  • The examples on the PyNeurGen website and in the source are excellent. However, I would like to see a new version which takes advantage of multiprocessing to speed up evaluation time.
Read more reviews >

Additional Project Details

Intended Audience

Developers, Science/Research

Programming Language

Python

Related Categories

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

Registered

2008-04-04