Prediction of monthly average and extreme atmospheric temperatures in Zhengzhou based on artificial neural network and deep learning models

Prediction of monthly average and extreme atmospheric temperatures in Zhengzhou based on artificial neural network and deep learning models

IntroductionAtmospheric temperature affects the growth and development of plants and has an important impact on the sustainable development of forest ecological systems. Predicting atmospheric temperature is crucial for forest management planning.MethodsArtificial neural network (ANN) and deep learn...

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Bibliographic Details
Main Authors: Qingchun Guo, Zhenfang He, Zhaosheng Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Forests and Global Change
Subjects:
extreme atmospheric temperature
artificial neural network
deep learning
CNN-GRU
CNN-LSTM
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/ffgc.2023.1249300/full

Internet

https://www.frontiersin.org/articles/10.3389/ffgc.2023.1249300/full

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