Author:
Zhuang Yanhua,Wen Weijia,Ruan Shuhe,Zhuang Fuzhen,Xia Biqing,Li Sisi,Liu Hongbin,Du Yun,Zhang Liang
Funder
Natural Science Foundation of Hubei Province
Youth Innovation Promotion Association of the Chinese Academy of Sciences
Department of Science and Technology of Hubei Province
Hubei Technological Innovation Special Fund
Chinese Academy of Sciences
Subject
Pollution,Waste Management and Disposal,Water Science and Technology,Ecological Modeling,Environmental Engineering,Civil and Structural Engineering
Reference55 articles.
1. Integrated use of satellite remote sensing, artificial neural networks, field spectroscopy, and GIS in estimating crucial soil parameters in terms of soil erosion;Alexakis;Remote Sens.,2019
2. River water quality index prediction and uncertainty analysis: a comparative study of machine learning models;Asadollah;J. Environ. Chem. Eng.,2021
3. Effects of organic amendment applications on nitrogen and phosphorus losses from sloping cropland in the upper Yangtze River;Bah;Agric. Ecosyst. Environ.,2020
4. Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J., 1984. Classification and Regression Trees, Wadsworth International Group.
5. Brereton, R.G. and Lloyd, G.R., 2010. Support vector machines for classification and regression. 135(2), 230–267.
Cited by
18 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