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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| 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 |