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

摘要

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