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2D Convolutional Neural Markov Models for Spatiotemporal Sequence Forecasting

Recent approaches to time series forecasting, especially forecasting spatiotemporal sequences, have leveraged the approximation power of deep neural networks to model the complexity of such sequences, specifically approaches that are based on recurrent neural networks. Still, as spatiotemporal seque...

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Detalles Bibliográficos
Autores principales: Halim, Calvin Janitra, Kawamoto, Kazuhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435848/
https://www.ncbi.nlm.nih.gov/pubmed/32731537
http://dx.doi.org/10.3390/s20154195