Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
A New Neurodynamics-Based Model for Fuzzy Convex Optimization Problems With Fuzzy Coefficients and General Constraints — J. J. Chen (2024) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
A New Neurodynamics-Based Model for Fuzzy Convex Optimization Problems With Fuzzy Coefficients and General Constraints
Shared by
Witold Pedrycz
University of Alberta
A New Neurodynamics-Based Model for Fuzzy Convex Optimization Problems With Fuzzy Coefficients and General Constraints
Article
2024
en
Authors
+1 more
JC
J. J. Chen
LM
Litao Ma
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
2018
Continuous-Time Distributed Subgradient Algorithm for Convex Optimization With General Constraints
Yanan Zhu
,
Wenwu Yu
,
Guanghui Wen
,
Guanrong Chen
,
Wei Ren
IEEE Transactions on Automatic Control
Article
2019
Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems
Wei Lu
,
Guoliang Feng
,
Xiaodong Liu
,
Witold Pedrycz
,
Liyong Zhang
,
Jianhua Yang
Article
1998
A general approach to solving a wide class of fuzzy optimization problems
Petr Ekel
,
Witold Pedrycz
,
Roland Schinzinger
Preprint
2022
Distributed discrete-time convex optimization with closed convex set constraints: Linearly convergent algorithm design
Meng Luan
,
Guanghui Wen
,
Hongzhe liu
,
tingwen huang
,
Guanrong Chen
,
wenwu yu
Preprint
2022
Distributed discrete-time convex optimization with closed convex set constraints: Linearly convergent algorithm design
Meng Luan
,
Guanghui Wen
,
Hongzhe liu
,
tingwen huang
,
Guanrong Chen
,
wenwu yu
Discussion(0)
No comments yet. Be the first to comment.