Integrating Support Vector Regression and a geomorphologic Artificial Neural Network for daily rainfall-runoff modeling

Applied Soft Computing Journal

Volumn 38, Issue , 2016, Pages 329-345

  Hosseini, Seiyed Mossa ^a   Mahjouri, Najmeh ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial Neural Networks (ANNs); Fuzzy inference system (FIS); Genetic algorithm; Geomorphologic characteristics; Rainfall runoff modeling; Support Vector Regression (SVR)

Indexed keywords

ALGORITHMS; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GENETIC ALGORITHMS; GEOMORPHOLOGY; INFERENCE ENGINES; NEURAL NETWORKS; RAIN; REGRESSION ANALYSIS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; FUZZY INFERENCE SYSTEMS; GEOMORPHOLOGIC CHARACTERISTICS; NUMBER OF HIDDEN NEURONS; PREDICTION ACCURACY; RAINFALL-RUNOFF MODELING; SUPPORT VECTOR REGRESSION (SVR); THREE-LAYER PERCEPTRON;

RUNOFF;

EID: 84945937560     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2015.09.049     Document Type: Article

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