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Application of neural network and grey relational analysis in ranking the factors affecting runoff and sediment yield under simulated rainfall
Juan Wang A B G , Jun Huang C D , Pute Wu A E F and Xining Zhao E F H
+ Author Affiliations
- Author Affiliations
A College of Water Resources and Architecture Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China.
B School of Hydraulic, Energy and Power Engineering, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
C Pearl River Hydraulic Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, 510611, Guangzhou, China.
D Soil and Water Conservation Monitoring Center of Pearl River Basin, Pearl River Hydraulic Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou, 510611, Guangdong, China.
E Institute of Soil and Water Conservation, Northwest A & F University, Yangling, 712100, Shaanxi, China.
F Institute of Soil and Water Conservation, Chinese Academy of Sciences & Ministry of Water Resources, Yangling, 712100, Shaanxi, China.
G Department of Land, Air, and Water Resource, University of California, Davis, Davis, CA, 95616, USA.
H Corresponding author. Email: zhaoxn_2014@sohu.com
Soil Research 54(3) 291-301 https://doi.org/10.1071/SR15068
Submitted: 1 March 2015 Accepted: 26 June 2015 Published: 13 April 2016
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