A multi-task learning-based generative adversarial network for red tide multivariate time series imputation

A multi-task learning-based generative adversarial network for red tide multivariate time series imputation

Abstract Red tide data are typical multivariate time series (MTS) and complete data help analyze red tide more conveniently. However, missing values due to artificial or accidental events hinder further analysis of red tide phenomenon. Generative adversarial network (GAN) is effective in capturing d...

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Bibliographic Details
Main Authors: Longfei Xu, Lingyu Xu, Jie Yu
Format: Article
Language:English
Published: Springer 2022-09-01
Series:Complex & Intelligent Systems
Subjects:
Red tide
Imputation
Generative adversarial network
Multi-task learning
Online Access:https://doi.org/10.1007/s40747-022-00856-w

Internet

https://doi.org/10.1007/s40747-022-00856-w

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