Application and comparison of prediction models of support vector machines and back-propagation artificial neural network for debris flow average velocity

Shuili Xuebao/Journal of Hydraulic Engineering

Volumn 43, Issue SUPPL. 2, 2012, Pages 105-110

  Yu, Guo Qiang ^a,b   Zhang, Mao Sheng ^a   Wang, Gen Long ^a   Pei, Liang ^c  

^a CHINA GEOLOGICAL SURVEY   (China)

^b NORTHWEST UNIVERSITY   (China)

^c INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

Author keywords

Average velocity; Back propagation artificial neural network; Debris flow; Jiangjia gully; Support vector machines

Indexed keywords

AVERAGE VELOCITY; BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); COUPLING RELATIONSHIPS; DEBRIS FLOWS; JIANGJIA GULLY; PREDICTIVE ACCURACY; REAL TIME MONITORING; VISCOUS DEBRIS FLOWS;

BACKPROPAGATION; DEBRIS; FORECASTING; LANDFORMS; MATHEMATICAL MODELS; MATLAB; NEURAL NETWORKS; VELOCITY;

SUPPORT VECTOR MACHINES;

EID: 84876094473     PISSN: 05599350     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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