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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Detalles Bibliográficos
Autores principales: Li, Teng, Guan, Yepeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235486/
https://www.ncbi.nlm.nih.gov/pubmed/34205796
http://dx.doi.org/10.3390/s21124248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235486/
https://www.ncbi.nlm.nih.gov/pubmed/34205796
http://dx.doi.org/10.3390/s21124248

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