Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
Time Series Forecasting Based on Improved Multilinear Trend Fuzzy Information Granules for Convolutional Neural Networks — Ronghua Zhang (2024) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Time Series Forecasting Based on Improved Multilinear Trend Fuzzy Information Granules for Convolutional Neural Networks
Shared by
Witold Pedrycz
University of Alberta
Time Series Forecasting Based on Improved Multilinear Trend Fuzzy Information Granules for Convolutional Neural Networks
Article
2024
en
Authors
+1 more
RZ
Ronghua Zhang
JZ
Jianming Zhan
WD
Weiping Ding
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2021
Multilinear-Trend Fuzzy Information Granule-Based Short-Term Forecasting for Time Series
Fang Li
,
Yuqing Tang
,
Fusheng Yu
,
Witold Pedrycz
,
Yuming Liu
,
Wenyi Zeng
Article
2015
Time series long-term forecasting model based on information granules and fuzzy clustering
Weina Wang
,
Witold Pedrycz
,
Xiaodong Liu
Article
2016
Long-term forecasting of time series based on linear fuzzy information granules and fuzzy inference system
Xiyang Yang
,
Fusheng Yu
,
Witold Pedrycz
Article
2024
Oriented to a multi-learning mode: Establishing trend-fuzzy-granule-based LSTM neural networks for time series forecasting
Yuqing Tang
,
Fusheng Yu
,
Witold Pedrycz
,
Fang Li
,
Chenxi Ouyang
Article
2018
Time-series clustering based on linear fuzzy information granules
Lingzi Duan
,
Fusheng Yu
,
Witold Pedrycz
,
Xiao Wang
,
Xiyang Yang
Discussion(0)
No comments yet. Be the first to comment.