Comparison of ANNs and empirical approaches for predicting watershed runoff

Journal of Water Resources Planning and Management

Volumn 126, Issue 3, 2000, Pages 156-166

  Anmala, Jagadeesh ^a   Zhang, Bin ^a   Govindaraju, Rao S ^a,b  

^a ASCE ^*  (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EMPIRICAL APPROACHES; TANH EQUATION; TSYKIN EQUATION;

ATMOSPHERIC TEMPERATURE; FEEDFORWARD NEURAL NETWORKS; GEOMORPHOLOGY; MATHEMATICAL MODELS; POLYNOMIALS; PRECIPITATION (METEOROLOGY); RAIN; RECURRENT NEURAL NETWORKS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS; WATERSHEDS;

RUNOFF;

NEURAL NETWORK; PREDICTION; RAIN; RUNOFF MODELING; WATERSHED;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; PREDICTION; RAINFALL-RUNOFF MODELING; WATERSHED;

UNITED STATES;

EID: 0033827239     PISSN: 07339496     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9496(2000)126:3(156)     Document Type: Article

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