What are Neuro-Fuzzy Classifiers?

What are Neuro-Fuzzy Classifiers? (1997)

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[fuzzy.cs.uni-magdeburg.de]

by Detlef Nauck , Rudolf Kruse

Venue:	in Proc. 7th Int. Fuzzy Systems Association World Congr. IFSA’97, vol. III
Citations:	7 - 1 self

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Datum	Value	Source
TITLE	What are Neuro-Fuzzy Classifiers?	user correction - Legacy Corrections
AUTHOR NAME	Detlef Nauck	SVM HeaderParse 0.1
AUTHOR AFFIL	University of Magdeburg; Faculty of Computer Science; Institute of Information and Communication Systems	SVM HeaderParse 0.2
AUTHOR ADDR	Universitaetsplatz 2, D--39106 Magdeburg, Germany	SVM HeaderParse 0.1
AUTHOR NAME	Rudolf Kruse	SVM HeaderParse 0.1
AUTHOR AFFIL	University of Magdeburg; Faculty of Computer Science; Institute of Information and Communication Systems	SVM HeaderParse 0.2
AUTHOR ADDR	Universitaetsplatz 2, D--39106 Magdeburg, Germany	SVM HeaderParse 0.1
ABSTRACT	Neuro--fuzzy combination are considered for several years already. However, the term "neuro--fuzzy" still lacks of proper definition, and it has the flavor of a "buzz word". In this paper we try to give it a meaning in the context of fuzzy classification systems. From our point of view "neuro--fuzzy" means the employment of heuristic learning strategies derived from the domain of neural network theory to support the development of a fuzzy system. We illustrate our ideas using our NEFCLASS model which is used to create a fuzzy classification system from data. 1 Introduction Ever since fuzzy systems were applied in industrial applications, developers know that the construction of a well performing fuzzy system is not always easy. The problem of finding appropriate membership functions and fuzzy rules is often a tiring process of trial and error. Therefore the idea of applying learning algorithms to fuzzy systems was considered early Approaches to so called adaptive or self--organizing ...	user correction - Legacy Corrections
YEAR	1997	INFERENCE
VENUE	in Proc. 7th Int. Fuzzy Systems Association World Congr. IFSA’97, vol. III	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	228--233	INFERENCE
VOLUME	4	INFERENCE
CITATIONS	23 found	ParsCit 1.0