Some considerations on conventional neuro-fuzzy learning algorithms by gradient descent method
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 difficult or inconvenient sometimes for constructing an optimal fuzzy system model in practical fuzzy applications. (C) 2000 Elsevier Science B.V. All rights reserved.
neuro-fuzzy learning algorithm fuzzy rule generation gaussian-type membership function triangular-type membership function product-sum-gravity fuzzy reasoning method simplified fuzzy reasoning method