Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
Genetically Tuned Fuzzy Back-propagation Learning Method Based On Derivation Of Min-max Function For Fuzzy Neural Networks. — M. Hadi Mashinchi (2007) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Genetically Tuned Fuzzy Back-propagation Learning Method Based On Derivation Of Min-max Function For Fuzzy Neural Networks.
Shared by
Witold Pedrycz
University of Alberta
Genetically Tuned Fuzzy Back-propagation Learning Method Based On Derivation Of Min-max Function For Fuzzy Neural Networks.
Article
2007
en
Authors
+1 more
MM
M. Hadi Mashinchi
MM
M. Mashinchi
SS
Siti Mariyam Shamsuddin
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
1999
IMPLEMENTING BACK-PROPAGATION- THROUGH-TIME LEARNING ALGORITHM USING CELLULAR NEURAL NETWORKS
Tao Yang
,
Leon O Chua
Chapter in a book
2005
Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks
Ho-Sung Park
,
Sung‐Kwun Oh
,
Witold Pedrycz
,
Yong-Kab Kim
Chapter in a book
2005
IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks
Sung‐Kwun Oh
,
Seok-Beom Roh
,
Witold Pedrycz
,
Jong-Beom Lee
Article
2010
Genetically optimized Hybrid Fuzzy Set-based Polynomial Neural Networks
Sung‐Kwun Oh
,
Witold Pedrycz
,
Seok-Beom Roh
Article
2008
SIMPLIFIED FUZZY INFERENCE RULE-BASED GENETICALLY OPTIMIZED HYBRID FUZZY NEURAL NETWORKS
Byoung‐Jun Park
,
Witold Pedrycz
,
Sung‐Kwun Oh
Discussion(0)
No comments yet. Be the first to comment.