A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks

Sung-Kwun Oh Sung-Kwun Oh; W Pedrycz; Ho-Sung Park Ho-Sung Park

doi:10.1109/TIE.2006.878300

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A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks

Journal article

Peer reviewed

A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks

Sung-Kwun Oh Sung-Kwun Oh, W Pedrycz and Ho-Sung Park Ho-Sung Park

IEEE transactions on industrial electronics (1982), Vol.53(4), pp.1309-1321

01/08/2006

DOI: https://doi.org/10.1109/TIE.2006.878300

Abstract

Design

Genetic algorithms

Studies

[...] the structural optimization is realized via GAs, whereas the ensuing, detailed parametric optimization is carried out in the setting of a standard least-square-method-based learning.

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Title: A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks
Creators - without role: Sung-Kwun Oh Sung-Kwun Oh
W Pedrycz - Systems Research Institute
Ho-Sung Park Ho-Sung Park
Publication Details: IEEE transactions on industrial electronics (1982), Vol.53(4), pp.1309-1321
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Identifiers: 9935291708331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article