A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks

SQ Wu; MJ Er; Y Gao

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A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks

Journal article

Peer reviewed

A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks

SQ Wu, MJ Er and Y Gao

IEEE TRANSACTIONS ON FUZZY SYSTEMS, Vol.9(4), pp.578-594

01/08/2001

Abstract

Science & Technology

Technology

Computer Science

Artificial Intelligence

Engineering

Electrical & Electronic

Computer Science

Engineering

COMPUTER SCIENCE

ARTIFICIAL INTELLIGENCE

ENGINEERING

ELECTRICAL & ELECTRONIC

ellipsoidal basis function (EBF)

function approximation

fuzzy rule extraction

on-line self-organizing learning

Takagi-Sugeno-Kang (TSK) fuzzy reasoning

FUNCTION APPROXIMATION

CONTROL-SYSTEMS

NUMERICAL DATA

ALGORITHM

EXAMPLES

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Title: A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks
Creators: SQ Wu
MJ Er
Y Gao
Publication Details: IEEE TRANSACTIONS ON FUZZY SYSTEMS, Vol.9(4), pp.578-594
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Date published: 01/08/2001
Date submitted: 05/02/2012
Identifiers: 99511752102346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks

Abstract

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