Project Summary
eANN is an implementation of several kind of neural networks written with the intention of providing a (hopefully) easy to use, and easy to modify, OOP source code.
It is possible to have several different sized networks running simultaneously, each functioning independently of the others or acting as inputs between them. It also easy to modify the structure so that neurons (or even whole layers) can be created/pruned during simulation allowing dynamic expansion/contraction of the network.
Networks Implemented:
* Multi Layer Neural Network with Backpropagation
* Competitive Neural Network
* Radial Basis Neural Network
* Progressive Radial Neural Network
* Progressive Learning Neural Network
In a Nutshell, eANN...
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took an estimated 4 years of effort (COCOMO model)
starting with its first commit in October, 2008
ending with its most recent commit over 5 years ago
Quick Reference
GNU General Public License v3.0 only
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Use Patent Claims
Forbidden
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Include Copyright
State Changes
Include License
Include Install Instructions
These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
Security Confidence Index
Vulnerability Exposure Index
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30 Day SummaryApr 16 2024 — May 16 2024
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12 Month SummaryMay 16 2023 — May 16 2024
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