𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Learning fuzzy inference systems using an adaptive membership function scheme

✍ Scribed by Lotfi, A.; Tsoi, A.C.

Book ID
117874242
Publisher
IEEE
Year
1996
Tongue
English
Weight
639 KB
Volume
26
Category
Article
ISSN
1083-4419

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Hydrological time-series modelling using
Hydrological time-series modelling using an adaptive neuro-fuzzy inference system
✍ Mahmut Firat; Mahmud GΓΌngΓΆr πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 997 KB

## Abstract Accurate forecasting of hydrological time‐series is a quite important issue for a wise and sustainable use of water resources. In this study, an adaptive neuro‐fuzzy inference system (ANFIS) approach is used to construct a time‐series forecasting system. In particular, the applicability

Fuzzy system identification using an ada
Fuzzy system identification using an adaptive learning rule with terminal attractors
✍ Chuan-Kai Lin; Sheng-De Wang πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 573 KB

A fuzzy model with an adaptive learning rule is proposed to approximate a class of nonlinear systems. The proposed adaptive learning rule uses the concept of terminal attractors and guarantees that the identification is stable and fast convergence in finite time. Another subject of this paper is to