CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China-Reference-Cited by-同舟云学术

CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China

Published:2020-09 Issue: Volume:588 Page:125087
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Zhang Yixiao,Zhao Zhongguo,Zheng Jianghua^ORCID

Funder

Major Program of National Social Science Foundation of China

Youth Xinjiang Science and Technology Innovation Talents Training Project of China

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference57 articles.

1. Allen, R.G., Pereira, L.S., Raes, D. et al., 1998. Crop evapotranspiration-Guidelines for computing crop water requirements. In: FAO Irrigation and Drainage, Paper No. 56, Food and Agriculture Organization of the United Nations, Rome.

2. Random forests;Breiman;Mach. Learn,2001

3. Soft Computing: Techniques and its Applications in Electrical Engineering;Chaturvedi,2008

4. Estimation of monthly mean reference evapotranspiration in Turkey;Citakoglu;Water Resour. Manage.,2014

5. Evapotranspiration estimation by two different neuro-fuzzy inference systems;Cobaner;J. Hydrol.,2011

Cited by 121 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-time prediction model of passenger thermal comfort for intelligent cabin;International Journal of Thermal Sciences;2025-01

2. Prediction of electricity load generated by Combined Cycle Power Plants using integration of machine learning methods and HGS algorithm;Computers and Electrical Engineering;2024-12

3. Assessment of noise pollution-prone areas using an explainable geospatial artificial intelligence approach;Journal of Environmental Management;2024-11

4. Development of ensemble learning techniques and sequential model-based optimization for enhancing the generalizability of shale wettability predictions;Marine and Petroleum Geology;2024-10

5. The reconstructed solar-induced chlorophyll fluorescence dataset reveals the almost ubiquitous close relationship between vegetation transpiration and solar-induced chlorophyll fluorescence;Journal of Hydrology;2024-10