Coactive neural fuzzy modeling.
Journal
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27 - December 1, 1995
Pages
760-765
Date Issued
1995
Author(s)
Mizutani, Eiji
Abstract
We discuss the neuro-fuzzy modeling and learning mechanisms of CANFIS (coactive neuro-fuzzy inference system) wherein both neural networks and fuzzy systems play active roles together in an effort to reach a specific goal. Their mutual dependence presents unexpected learning capabilities. CANFIS has extended the basic ideas of its predecessor ANFIS (adaptive network-based fuzzy inference system): the ANFIS concept has been extended to any number of input-output pairs. In addition, CANFIS yields advantages from nonlinear fuzzy rules. In light of some model-related limitations, this paper serves to highlight both neuro-fuzzy learning capacities and practical obstacles encountered in performing neuro-fuzzy modeling.
Type
conference paper