Document Type

Article

Department or Administrative Unit

Computer Science

Publication Date

12-2012

Abstract

We analyze function approximation (regression) capability of Fuzzy ARTMAP (FAM) architectures - well-known incremental learning neural networks. We focus especially on the universal approximation property. In our experiments, we compare the regression performance of FAM networks with other standard neural models. It is the first time that ARTMAP regression is overviewed, both from theoretical and practical points of view.

Comments

This article was originally published Open Access in International Journal of Computers Communications & Control . The full-text article from the publisher can be found here.

Journal

​International Journal of Computers Communications & Control

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Rights

Copyright © 2006-2012 by CCC Publications

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