Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks — Jesús Soto (2019) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks
Shared by
Witold Pedrycz
University of Alberta
A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks
Article
2019
en
Authors
+1 more
JS
Jesús Soto
OC
Oscar Castillo
PM
Patricia Melín
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2023
Time series prediction with granular neural networks
Mingli Song
,
Yan Li
,
Witold Pedrycz
Article
2008
Fuzzy prediction architecture using recurrent neural networks
Daniel Graves
,
Witold Pedrycz
Article
2020
Disjunctive Fuzzy Neural Networks: A New Splitting-Based Approach to Designing a T–S Fuzzy Model
Ning Wang
,
Witold Pedrycz
,
Wen Yao
,
Xiaoqian Chen
,
Yong Zhao
Article
2024
Prediction of Ship-Unloading Time Using Neural Networks
Zhen Gao
,
Danning Li
,
Danni Wang
,
Zengcai Yu
,
Witold Pedrycz
,
Xinhai Wang
Article
2005
A new approach to self-organizing fuzzy polynomial neural networks guided by genetic optimization
Sung‐Kwun Oh
,
Witold Pedrycz
Discussion(0)
No comments yet. Be the first to comment.