𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Stability of hierarchical fuzzy systems generated by Neuro-Fuzzy

✍ Scribed by R. Saad; S. K. Halgamuge

Book ID
106168694
Publisher
Springer
Year
2004
Tongue
English
Weight
360 KB
Volume
8
Category
Article
ISSN
1432-7643

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A hierarchical recurrent neuro-fuzzy mod
A hierarchical recurrent neuro-fuzzy model for system identification
✍ Andreas NΓΌrnberger πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 344 KB

Neuro-fuzzy systems are by now well established in data analysis and system control. They are well suited for the development of interactive data analysis tools, which enable the extraction of rule-based knowledge from data and the introduction of a priori knowledge in the process of data analysis a

A dynamic neuro-fuzzy system configurati
A dynamic neuro-fuzzy system configuration, stability, and fuzzy operational function
✍ Xiaogang Ruan πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 453 KB

This paper describes a dynamic neuro-fuzzy system (DNFS) with the operational functions of fuzzy logic. The neurons of the DNFS correspond to the elements in a certain pattern set, and the fuzzy relation between the patterns is stored in the DNFS as a weighting matrix of the DNFS that represents the

Universal approximation by hierarchical
Universal approximation by hierarchical fuzzy systems
✍ Li-Xin Wang πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 450 KB

A serious problem limiting the applicability of standard fuzzy controllers is the rule-explosion problem; that is, the number of rules increases exponentially with the number of input variables to the fuzzy controller. A way to deal with this "curse of dimensionality" is to use the hierarchical fuzz

Modeling of hierarchical fuzzy systems
Modeling of hierarchical fuzzy systems
✍ Ming-Ling Lee; Hung-Yuan Chung; Fang-Ming Yu πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 925 KB

A new kind of mapping rule base scheme is proposed to get the fuzzy rules of hierarchical fuzzy systems. The algorithm of this scheme is developed such that one can easily design the involved fuzzy rules in the middle layers of the hierarchical structure. In contrast with the conventional single lay