A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming (vol 33, pg 1103, 2019)

被引：0

作者：

Liu, Suning ^{[1
,2
,3
]}

Shi, Haiyun ^{[1
,2
,4
]}

机构：

[1] Southern Univ Sci & Technol, State Environm Protect Key Lab Integrated Surface, Sch Environm Sci & Engn, Shenzhen, Peoples R China

[2] Southern Univ Sci & Technol, Sch Environm Sci & Engn, Guangdong Prov Key Lab Soil & Groundwater Pollut, Shenzhen, Peoples R China

[3] Univ Hong Kong, Dept Civil Engn, Hong Kong, Peoples R China

[4] Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining, Qinghai, Peoples R China

来源：

WATER RESOURCES MANAGEMENT | 2019年 / 33卷 / 08期

关键词：

D O I：

10.1007/s11269-019-02288-7

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The article A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming, written by Suning Liu and Haiyun Shi was originally published electronically on the publisher's internet portal (currently SpringerLink) on 16 December 2018 without open access.

引用

页码：2973 / 2973

页数：1

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