Some properties on a class of neuro-fuzzy learning algorithms
Yan Shi, M. Mizumoto · 2005
In this paper, we try to analyze two kind; of conventional neuro-fuzzy learning algorithms, which are widely used in recent fuzzy applications for tuning fuzzy rules, and give a summarization of their properties. Some of these properties show that uses of the conventional neuro-fuzzy learning algorithms are sometimes dillicult or inconvenient for constructing an optimal fuzzy system model in practical fuzzy applications.