2D Convolutional Neural Markov Models for Spatiotemporal Sequence Forecasting

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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Bibliographic Details
Main Authors: Calvin Janitra Halim, Kazuhiko Kawamoto
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
spatiotemporal forecasting
time series prediction
deep neural networks
deep Markov model
CNN
LSTM
Online Access:https://www.mdpi.com/1424-8220/20/15/4195

Internet

https://www.mdpi.com/1424-8220/20/15/4195

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