Based on hypernetworks and multifractals: Deep distribution feature fusion for multidimensional nonstationary time series prediction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Based on hypernetworks and multifractals: Deep distribution feature fusion for multidimensional nonstationary time series prediction

Published:2024-05 Issue: Volume:182 Page:114811
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Shen Yuewen^ORCID,Wen Lihong^ORCID,Shen Chaowen^ORCID

Publisher

Elsevier BV

Reference50 articles.

1. Air quality index forecast in beijing based on cnn-lstm multi-model;Zhang;Chemosphere,2022

2. A short-term wind speed prediction method utilizing novel hybrid deep learning algorithms to correct numerical weather forecasting;Han;Appl Energy,2022

3. Application of a new grey multivariate forecasting model in the forecasting of energy consumption in 7 regions of china;Wang;Energy,2022

4. Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting;Djenouri;Future Gener Comput Syst,2023

5. Coherent mortality forecasting: the product-ratio method with functional time series models;Hyndman;Demography,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP