𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Recurrent wavelet-based neuro fuzzy networks for dynamic system identification

✍ Scribed by Cheng-Jian Lin; Cheng-Chung Chin


Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
833 KB
Volume
41
Category
Article
ISSN
0895-7177

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


A hierarchical recurrent neuro-fuzzy mod
✍ 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 self-organizing recurrent fuzzy CMAC m
✍ Cheng-Jian Lin; Chi-Yung Lee πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 257 KB πŸ‘ 1 views

This paper presents a self-organizing recurrent fuzzy cerebellar model articulation controller (RFCMAC) model for identifying a dynamic system. The recurrent network is embedded in the self-organizing RFCMAC by adding feedback connections with a receptive field cell to the RFCMAC, where the feedback

A WAVELET-BASED APPROACH FOR THE IDENTIF
✍ ROGER GHANEM; FRANCESCO ROMEO πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 260 KB

A novel procedure is developed for the identi"cation of linear discrete models of dynamical systems from noisy data. Of particular interest is the application of the methodology to time-varying systems. The procedure is based on a representation of the governing di!erential equations with respect to