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Analyzed 4 days ago. based on code collected 4 days ago.

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

Tags

delphi neural neuralnetwork neural-networks neural_networks neuralnetworks

In a Nutshell, eANN...

GNU General Public License v3.0 only
Permitted

Commercial Use

Modify

Distribute

Place Warranty

Use Patent Claims

Forbidden

Sub-License

Hold Liable

Required

Distribute Original

Disclose Source

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

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Pascal
53%
HTML
46%
2 Other
1%

30 Day Summary

Dec 26 2022 — Jan 25 2023

12 Month Summary

Jan 25 2022 — Jan 25 2023

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