Atmospheric Temperature Prediction Based on a BiLSTM-Attention Model

Atmospheric Temperature Prediction Based on a BiLSTM-Attention Model

To address the problem that traditional models are not effective in predicting atmospheric temperature, this paper proposes an atmospheric temperature prediction model based on symmetric BiLSTM (bidirectional long short-term memory)-Attention model. Firstly, the meteorological data from five major s...

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Bibliographic Details
Main Authors: Xueli Hao, Ying Liu, Lili Pei, Wei Li, Yaohui Du
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Symmetry
Subjects:
bidirectional long short-term memory network
attention mechanism
machine learning
temperature prediction
Online Access:https://www.mdpi.com/2073-8994/14/11/2470

Internet

https://www.mdpi.com/2073-8994/14/11/2470

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