Improving partial mutual information-based input variable selection by consideration of boundary issues associated with bandwidth estimation

出版年份 2015 全文链接

标题

作者

关键词

Artificial neural networks, Data-driven models, Partial mutual information, Kernel density estimation, Kernel bandwidth, Boundary issues, Hydrology and water resources, Input variable selection

出版物

ENVIRONMENTAL MODELLING & SOFTWARE

Volume 71, Issue -, Pages 78-96

出版商

Elsevier BV

发表日期

2015-06-19

DOI

10.1016/j.envsoft.2015.05.013

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