You must login before you can run this tool.
[Illinois]: Optimize Connectivity Profile of Activity-Bubble Network
Use genetic algorithm with binary chromosomes to optimize activity-bubble network.
Category
Published on
Abstract
This tool uses an algorithm simulating genetic combinations over generations while accounting for random mutation. It produces the minimum accumulated error, the mean error over generations, the most fit and the output responses over generations.
The source code for this file is gaBubble.m published online and in Neural Systems Modeling by Thomas J. Anastasio.
Powered by
Octave
Credits
Thomas J. Anastasio - Author
Nahil A. Sobh
Jessica Johnson
Cite this work
Researchers should cite this work as follows: