Neuro-fuzzy modeling and control
- 1 March 1995
- journal article
- review article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE
- Vol. 83 (3) , 378-406
- https://doi.org/10.1109/5.364486
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.Keywords
This publication has 1 reference indexed in Scilit:
- Parallel Distributed ProcessingPublished by MIT Press ,1986