๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Guided neural network learning using a fuzzy controller, with applications to textile spinning

โœ Scribed by Peitsang Wu; Shu-Cherng Fang; Henry L.W. Nuttle; James R. Wilson; Russell E. King


Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
952 KB
Volume
2
Category
Article
ISSN
0969-6016

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A fuzzy neural network and its applicati
โœ Sun Zengqi; Deng Zhidong ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 503 KB

A fuzzy neural network is presented. The network is composed of two parts: an antecedent network and a consequent network. The network acts as a fuzzy logic controller. The antecedent network matches the premises of the fuzzy rules and the consequent network implements the consequences of the rules.

An adaptive predistorter using modified
โœ Hong-min Deng; Song-bai He; Jue-bang Yu ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 272 KB

In digital radio systems, high data transmission rates require the use of spectrally efficient linear modulation techniques; however, these techniques are generally sensitive to nonlinearity caused by the high-power amplifier (HPA) employed in transmitter systems. The nonlinearity of HPA is potentia

On-line adaptive control of non-linear p
โœ G. W. Ng; P. A. Cook ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 218 KB ๐Ÿ‘ 2 views

In this paper, we present two on-line adaptive control algorithms for non-linear plants using neural networks. The architecture used is based on the concept of specialized learning, which was first proposed by Psaltis et al. and suffers from two main problems, namely lack of knowledge of the plant J