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	Artificial neural network approach for quantifying climate change and human activities impacts on shallow groundwater level - A case study of Wuqiao in north China plain
	Wang, Shaoli; Hu, Yaqiong; Gao, Zhanyi; Chen, Haorui
刊名	2010 18th International Conference on Geoinformatics, Geoinformatics 2010
	2010
DOI	10.1109/GEOINFORMATICS.2010.5567678
URL标识	查看原文
收录类别	EI
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3740243
专题	武汉大学
推荐引用方式 GB/T 7714	Wang, Shaoli,Hu, Yaqiong,Gao, Zhanyi,et al. Artificial neural network approach for quantifying climate change and human activities impacts on shallow groundwater level - A case study of Wuqiao in north China plain[J]. 2010 18th International Conference on Geoinformatics, Geoinformatics 2010,2010.
APA	Wang, Shaoli,Hu, Yaqiong,Gao, Zhanyi,&Chen, Haorui.(2010).Artificial neural network approach for quantifying climate change and human activities impacts on shallow groundwater level - A case study of Wuqiao in north China plain.2010 18th International Conference on Geoinformatics, Geoinformatics 2010.
MLA	Wang, Shaoli,et al."Artificial neural network approach for quantifying climate change and human activities impacts on shallow groundwater level - A case study of Wuqiao in north China plain".2010 18th International Conference on Geoinformatics, Geoinformatics 2010 (2010).

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