CMU Artificial Intelligence Repository
GANNET: Genetic Algorithm / Neural NETwork
This directory contains GANNET (Genetic Algorithm / Neural NETwork).
GANNET allows one to evolve neural networks using genetic algorithms.
GANNET evolves nets based upon three fitness functions: Input/Output
Accuracy, Output 'Stability', and Network Size. The evolved neural
network presently has a binary input and binary output format, with
neurodes that have either 2 or 4 inputs and weights ranging from -3 to
+4. GANNET only allows for 250 neurodes in a net.
The distribution includes source code, a verifier program that
verifies the best neural network generated, and some sample datasets.
Version: 0.91 (5-SEP-90, 8-SEP-92)
Requires: ANSI C, UNIX
Copying: Copyright (C) 1990 Jason J. Spofford
GNU GPL v1
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Written by Captain Jason J. Spofford, USAF.
Contact: Darrell Duane
Dr. Kenneth Hintz
George Mason University
Dept. of Electrical & Computer Engineering
Mail Stop 1G5
4400 University Drive
Fairfax, VA 22033-4444 USA
Tel: (703) 993-1592
Authors!Spofford, C!Code, GANNET, GNU GPL,
Genetic Algorithms, Neural Networks
Last Web update on Mon Feb 13 10:22:51 1995