A long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks-Reference-Cited by-同舟云学术

A long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks

Published:2023-05 Issue: Volume:139 Page:110214
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Wang Xingyu^ORCID,Liu Hui,Du Junzhao,Dong Xiyao,Yang Zhihan

Publisher

Elsevier BV

Subject

Software

Reference55 articles.

1. Time series prediction using support vector machines: a survey;Sapankevych;IEEE Comput. Intell. Mag.,2009

2. Gaussian process priors with uncertain inputs application to multiple-step ahead time series forecasting;Girard;Adv. Neural Inf. Process. Syst.,2002

3. Application of improved version of multi verse optimizer algorithm for modeling solar radiation;Ikram;Energy Rep.,2022

4. The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction;Adnan;Hydrol. Sci. J.,2022

5. The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction;Ikram;Appl. Soft Comput.,2022

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