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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.
ISSN: 1313-048X
Appears in Collections:Volume 2 Number 2

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