標題: NEURO-FUZZY MODELING AND CONTROL
作者: JANG, JSR
SUN, CT
資訊工程學系
Department of Computer Science
關鍵字: FUZZY LOGIC;NEURAL NETWORKS;FUZZY MODELING;NEURO-FUZZY MODELING;NEURO-FUZZY CONTROL;ANFIS
公開日期: 1-三月-1995
摘要: 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.
URI: http://dx.doi.org/10.1109/5.364486
http://hdl.handle.net/11536/2013
ISSN: 0018-9219
DOI: 10.1109/5.364486
期刊: PROCEEDINGS OF THE IEEE
Volume: 83
Issue: 3
起始頁: 378
結束頁: 406
顯示於類別:期刊論文


文件中的檔案:

  1. A1995QJ99800003.pdf