Design of evolutionally optimized rule-based fuzzy neural networks based on fuzzy relation and evolutionary optimization

Conference proceeding

Open access

Peer reviewed

Byoung-Jun Park, Sung-Kwun OH, Witold Pedrycz and Hyun-Ki Kim

Lecture notes in computer science, Vol.3516(III), pp.1100-1103

Computational science (Atlanta GA, 22-25 May 2005)

2005

Abstract

Algorithmics. Computability. Computer arithmetics

Applied sciences

Computer science; control theory; systems

Exact sciences and technology

Theoretical computing

url

https://doi.org/10.1007/11428862_182View

Published (Version of record) Open

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Title: Design of evolutionally optimized rule-based fuzzy neural networks based on fuzzy relation and evolutionary optimization
Creators - without role: Byoung-Jun Park - Wonkwang University
Sung-Kwun OH - University of Suwon
Witold Pedrycz - University of Alberta
Hyun-Ki Kim - University of Suwon
Publication Details: Lecture notes in computer science, Vol.3516(III), pp.1100-1103
Conference: Computational science (Atlanta GA, 22-25 May 2005)
Publisher: Springer
Identifiers: 9935763108331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Conference proceeding