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Optimize Connectivity Profile of Activity-Bubble Network

By Jessica S Johnson

University of Illinois at Urbana-Champaign

Use genetic algorithm with binary chromosomes to optimize activity-bubble network.

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Version 1.0 - published on 26 Jun 2013

doi:10.4231/D3707WN9K cite this

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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.

This tool is built from the MATLAB scripts for Tutorial on Neural Systems Modeling by Thomas J. Anastasio.

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Credits

Thomas J. Anastasio, Nahil A. Sobh, Jessica Johnson

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References

Anastasio, T. J. (2009). Tutorial on Neural Systems Modeling. Sinauer Associates, Incorporated.

Cite this work

Researchers should cite this work as follows:

  • Jessica S Johnson (2013), "Optimize Connectivity Profile of Activity-Bubble Network," http://nanohub.org/resources/gabubble. (DOI: 10.4231/D3707WN9K).

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