The Open Artificial Intelligence Journal

2008, 2 : 1-10
Published online 2008 March 27. DOI: 10.2174/1874061800802010001
Publisher ID: TOAIJ-2-1

A New Approach to Artificial Immune Systems and its Application in Constructing On-line Learning Neuro-Fuzzy Systems

Mu-Chun Su , Po-Chun Wang and Yuan-Shao Yang
Department of Computer Science and Information Engineering, National Central University, No. 300, Jung-da Road, Chung-li, Tao-yuan, Taiwan 320.

ABSTRACT

In this paper, we present an on-line learning neuro-fuzzy system which was inspired by parts of the mechanisms in immune systems. It illustrates how an on-line learning neuro-fuzzy system can capture the basic elements of the immune system and exhibit some of its appealing properties. During the learning procedure, a neuro-fuzzy system can be incrementally constructed. We illustrate the potential of the on-line learning neuro-fuzzy system on several benchmark classification problems and function approximation problems.

Keywords:

Artificial immune systems, on-line learning, neural networks, fuzzy systems.