✦ LIBER ✦

Some considerations on conventional neuro-fuzzy learning algorithms by gradient descent method

✍ Scribed by Yan Shi; Masaharu Mizumoto

Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 232 KB
Volume: 112
Category: Article
ISSN: 0165-0114
DOI: 10.1016/s0165-0114(98)00056-6

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✦ Synopsis

In this paper, we try to analyze several conventional neuro-fuzzy learning algorithms, which are widely used in recent fuzzy applications for tuning fuzzy rules, and give a summarization of their properties in detail. Some of these properties show that the uses of the conventional neuro-fuzzy learning algorithms are di cult or inconvenient sometimes for constructing an optimal fuzzy system model in practical fuzzy applications.