Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures — Sung‐Kwun Oh (2008) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures
Shared by
Witold Pedrycz
University of Alberta
Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures
Chapter In A Book
2008
en
Authors
SO
Sung‐Kwun Oh
Witold Pedrycz
University of Alberta
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2006
Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design
Sung‐Kwun Oh
,
Witold Pedrycz
,
Ho-Sung Park
Article
2008
SIMPLIFIED FUZZY INFERENCE RULE-BASED GENETICALLY OPTIMIZED HYBRID FUZZY NEURAL NETWORKS
Byoung‐Jun Park
,
Witold Pedrycz
,
Sung‐Kwun Oh
Article
2010
Genetically optimized Hybrid Fuzzy Set-based Polynomial Neural Networks
Sung‐Kwun Oh
,
Witold Pedrycz
,
Seok-Beom Roh
Chapter in a book
2004
Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design
Byoung‐Jun Park
,
Sung‐Kwun Oh
,
Witold Pedrycz
,
Tae-Chon Ahn
Chapter in a book
2007
Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies
Sung‐Kwun Oh
,
James F. Peters
,
Witold Pedrycz
,
Tae-Chon Ahn
Discussion(0)
No comments yet. Be the first to comment.