Wei Fang1,2,*, Yupeng Chen1, Qiongying Xue1
Journal on Big Data, Vol.3, No.3, pp. 97-110, 2021, DOI:10.32604/jbd.2021.016993
- 22 November 2021
Abstract In the past few years, deep learning has developed rapidly, and many
researchers try to combine their subjects with deep learning. The algorithm based
on Recurrent Neural Network (RNN) has been successfully applied in the fields
of weather forecasting, stock forecasting, action recognition, etc. because of its
excellent performance in processing Spatio-temporal sequence data. Among
them, algorithms based on LSTM and GRU have developed most rapidly
because of their good design. This paper reviews the RNN-based Spatiotemporal sequence prediction algorithm, introduces the development history of
RNN and the common application directions of the Spatio-temporal More >
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