Dual recurrent neural networks using partial linear dependence for multivariate time series

作者：

Highlights：

• Proposed a new dual RNN structure.

• Proposed a partial linear dependence measure.

• Showed better performance in comparison to several previous algorithms.

摘要

•Proposed a new dual RNN structure.•Proposed a partial linear dependence measure.•Showed better performance in comparison to several previous algorithms.

论文关键词：RNN,LSTM,Dual,Partial linear dependence

论文评审过程：Received 13 March 2022, Revised 6 June 2022, Accepted 15 July 2022, Available online 20 July 2022, Version of Record 26 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118205