An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network
type: Item
instance of: scholarly article
title: An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network
zbMATH Open document ID: 1067.68128
author: Gang Leng
author: T. M. McGinnity
author: Girijesh Prasad
published in: Fuzzy Sets and Systems
publication date: 2005-04-07T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 2153546
zbMATH Keywords: Fuzzy rule extraction
zbMATH Keywords: EBF
zbMATH Keywords: Self-organising fuzzy neural network
zbMATH Keywords: TS model
MaRDI profile type: Publication
full work available at URL: j.fss.2004.03.001
OpenAlex ID: W2021347076
cites work: Problems of identification and control
cites work: Q3847819
cites work: Q4692382
cites work: Multilayer feedforward networks are universal approximators
cites work: Fuzzy logic in control systems: fuzzy logic controller. II
cites work: A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks
cites work: An identification algorithm in fuzzy relational systems
cites work: Time series analysis using normalized PG-RBF network with regression weights
cites work: Structure identification of fuzzy model
cites work: Successive identification of a fuzzy model and its applications to prediction of a complex system
cites work: Fuzzy identification of systems and its applications to modeling and control
cites work: New similarity measures on fuzzy sets and on elements
cites work: Fuzzy Model Identification and Self-Learning for Dynamic Systems
cites work: Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
DOI: 10.1016/J.FSS.2004.03.001
description: scientific article; zbMATH DE number 2153546