Referenced Items are not available for this document.
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
Published in:
Proceedings of the IEEE
(Volume:83
,
Issue:
3
)
Date of Publication: Mar 1995
- Page(s):
- 378 - 406
- ISSN :
- 0018-9219
- INSPEC Accession Number:
- 4915093
- Digital Object Identifier :
- 10.1109/5.364486
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Mar 1995
- Sponsored by :
- IEEE
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