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A New Hybrid Machine Learning Model for Short-Term Climate Prediction by Performing Classification Prediction and Regression Prediction Simultaneously

Deqian LI Shujuan HU Jinyuan GUO Kai WANG Chenbin GAO Siyi WANG Wenping HE

气象学报（英文版）2022，Vol.36Issue(6)：853-865,13.

A New Hybrid Machine Learning Model for Short-Term Climate Prediction by Performing Classification Prediction and Regression Prediction Simultaneously

Deqian LI ¹Shujuan HU ¹Jinyuan GUO ¹Kai WANG ¹Chenbin GAO ¹Siyi WANG ¹Wenping HE²

作者信息

1. Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000
2. School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082
折叠

摘要

关键词

selective Naive Bayes ensemble model/machine learning/short-term climate prediction/classificationprediction/regression prediction/western North Pacific subtropical high

Key words

selective Naive Bayes ensemble model/machine learning/short-term climate prediction/classificationprediction/regression prediction/western North Pacific subtropical high

引用本文复制引用

Deqian LI,Shujuan HU,Jinyuan GUO,Kai WANG,Chenbin GAO,Siyi WANG,Wenping HE..A New Hybrid Machine Learning Model for Short-Term Climate Prediction by Performing Classification Prediction and Regression Prediction Simultaneously[J].气象学报（英文版）,2022,36(6):853-865,13.

基金项目

Supported by the National Natural Science Foundation of China(42130610,41975076,and 42175067)and National Key Research and Development Program of China(2019YFA0607104). （42130610,41975076,and 42175067）

气象学报（英文版）

OACSCDCSTPCD

ISSN：0894-0525

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