A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region

Journal of Hydrology

Volumn 509, Issue , 2014, Pages 379-386

  He, Zhibin ^a,b   Wen, Xiaohu ^b   Liu, Hu ^a,b   Du, Jun ^a,b  

^a Chinese Ecosystem Research Network   (China)

^b Chinese Academy of Sciences   (China)

Author keywords

Adaptive neuro fuzzy inference system; Artificial neural network; River flow forecasting; Support vector machine

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; COEFFICIENT OF CORRELATION; COMPLICATED TOPOGRAPHIES; EFFICIENCY COEFFICIENT; QUANTITATIVE STANDARDS; RIVER FLOW FORECASTING; ROOT MEAN SQUARED ERRORS; STATISTICAL PERFORMANCE;

FORECASTING; LANDFORMS; MODELS; NEURAL NETWORKS; STREAM FLOW;

SUPPORT VECTOR MACHINES;

ANTECEDENT CONDITIONS; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; FUZZY MATHEMATICS; MOUNTAIN REGION; RIVER BASIN; RIVER FLOW; SEMIARID REGION; VECTOR;

CHINA;

EID: 84890351420     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.11.054     Document Type: Article

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