Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling

Byoung-Jun Park; W Pedrycz; Sung-Kwun Oh

doi:10.1109/TFUZZ.2002.803495

Back

Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling

Journal article

Peer reviewed

Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling

Byoung-Jun Park, W Pedrycz and Sung-Kwun Oh

IEEE transactions on fuzzy systems, Vol.10(5), pp.607-621

01/10/2002

DOI: https://doi.org/10.1109/TFUZZ.2002.803495

Abstract

Genetic algorithms

Neural networks

Studies

The development of the FPNNs dwells on the technologies of computational intelligence (CI), namely fuzzy sets, neural networks, and genetic algorithms.

Metrics

1 Record Views

Details

Title: Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling
Creators - without role: Byoung-Jun Park - Wonkwang University
W Pedrycz - Systems Research Institute
Sung-Kwun Oh - Wonkwang University
Publication Details: IEEE transactions on fuzzy systems, Vol.10(5), pp.607-621
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Identifiers: 9938883508331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article