Neuro-Fuzzy Modeling and Control
Journal
Proceedings of the IEEE
Journal Volume
83
Journal Issue
3
Pages
378-406
Date Issued
1995
Author(s)
Abstract
Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which unifies both neural networks and fuzzy models. The fuzzy models under the framework of adaptive networks is called adaptive-network-based fuzzy inference system (ANFIS), which possess certain advantages over neural networks. We introduce the design methods for ANFIS in both modeling and control applications. Current problems and future directions for neuro-fuzzy approaches are also addressed.>
Type
journal article