Work

Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data

Year: 2017

Type: article

Source: Computers and Electronics in Agriculture

DOI: 10.1016/j.compag.2017.01.027

Authors: Yu Feng, Yong Peng, Ningbo Cui, Daozhi Gong, Kuandi Zhang

Institutions: Sichuan University, State Key Laboratory of Hydraulics and Mountain River Engineering, Chinese Academy of Agricultural Sciences, Institute of Environment and Sustainable Development in Agriculture, Northwest A&F University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funders: China Meteorological Administration, Key Technologies Research and Development Program, National Key Research and Development Program of China

Award: G447999616

OpenAlex ID: W2603417106

FWCI: 12.78

Cites: 50

Cited by: 272

Related to: 10