Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

标题
Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution
作者
关键词
Chemical oxygen demand (COD), Mathematical modeling, Estimation, Least square support vector machine, Multivariate adaptive regression splines, M5 model tree
出版物
JOURNAL OF HYDROLOGY
Volume 534, Issue -, Pages 104-112
出版商
Elsevier BV
发表日期
2015-12-29
DOI
10.1016/j.jhydrol.2015.12.014

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