IMI-BAS
 

BulDML at Institute of Mathematics and Informatics >
ITHEA >
International Journal ITK >
2008 >
Volume 2 Number 2 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/165

Title: General Regression Neuro–Fuzzy Network for Identification of Nonstationary Plants
Authors: Bodyanskiy, Yevgeniy
Nataliya, Teslenko
Keywords: memory-based networks
one-pass learning
Fuzzy Inference Systems
fuzzy-basis membership functions
neurons at data points
nonlinear identification
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: General Regression Neuro-Fuzzy Network, which combines the properties of conventional General Regression Neural Network and Adaptive Network-based Fuzzy Inference System is proposed in this work. This network relates to so-called “memory-based networks”, which is adjusted by one-pass learning algorithm.
URI: http://hdl.handle.net/10525/165
ISSN: 1313-048X
Appears in Collections:Volume 2 Number 2

Files in This Item:

File Description SizeFormat
ijitk02-2-p05.pdf153.49 kBAdobe PDFView/Open

 




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2009  The DSpace Foundation - Feedback