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A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming

Crossref DOI link: https://doi.org/10.1007/s11269-018-2169-0

Published Online: 2018-12-15

Published Print: 2019-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liu, Suning

Shi, Haiyun http://orcid.org/0000-0001-5793-1138
Funding

Funding for this research was provided by:

State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control

Natural Science Foundation of Qinghai Province (2017-ZJ-911)

Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control (2017B030301012)
License Information

Text and Data Mining valid from 2018-12-15
More Information

Article History

Received: 8 August 2018

Accepted: 11 December 2018

First Online: 15 December 2018

Change Date: 24 May 2019

Change Type: Correction

Change Details: 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.

Compliance with Ethical Standards

:

: None.