A new approach to genetically optimized hybrid fuzzy set-based polynomial neural networks with FSPNs and PNs

Conference proceeding

Peer reviewed

Sung-Kwun OH, Seok-Beom Roh and Witold Pedrycz

Lecture notes in computer science, Vol.3558, pp.328-337

MDAI 2005 : modeling decisions for artificial intelligence (Tsukuba, 25-27 July 2005)

2005

Abstract

Applied sciences

Artificial intelligence

Computer science; control theory; systems

Exact sciences and technology

Learning and adaptive systems

1 Record Views

Title: A new approach to genetically optimized hybrid fuzzy set-based polynomial neural networks with FSPNs and PNs
Creators - without role: Sung-Kwun OH - University of Suwon
Seok-Beom Roh - Wonkwang University
Witold Pedrycz - University of Alberta
Publication Details: Lecture notes in computer science, Vol.3558, pp.328-337
Conference: MDAI 2005 : modeling decisions for artificial intelligence (Tsukuba, 25-27 July 2005)
Publisher: Springer
Identifiers: 9935748508331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Conference proceeding