Dual Memory LSTM with Dual Attention Neural Network for Spatiotemporal Prediction

Dual Memory LSTM with Dual Attention Neural Network for Spatiotemporal Prediction

Spatiotemporal prediction is challenging due to extracting representations being inefficient and the lack of rich contextual dependences. A novel approach is proposed for spatiotemporal prediction using a dual memory LSTM with dual attention neural network (DMANet). A new dual memory LSTM (DMLSTM) u...

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Bibliographic Details
Main Authors: Teng Li, Yepeng Guan
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
spatiotemporal prediction
dual memory LSTM
dual attention
historical representations
Online Access:https://www.mdpi.com/1424-8220/21/12/4248

Internet

https://www.mdpi.com/1424-8220/21/12/4248

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