Predicting the longitudinal dispersion coefficient using support vector machine and adaptive neuro-fuzzy inference system techniques

Environmental Engineering Science

Volumn 26, Issue 10, 2009, Pages 1503-1510

  Noori, Roohollah ^a,b   Karbassi, Abdulreza ^b   Farokhnia, Ashkan ^a,c   Dehghani, Majid ^d  

^a AEROSPACE RESEARCH INSTITUTE   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

^c TARBIAT MODARES UNIVERSITY   (Iran)

^d ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Adaptive neuro fuzzy inference system; Longitudinal dispersion coefficient; Regression model; Support vector machine

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS MODEL; CORRELATION COEFFICIENT; DATA-DRIVEN METHODS; DEVELOPED MODEL; ERROR DISTRIBUTIONS; GEOMETRIC DATA; LONGITUDINAL DISPERSION COEFFICIENT; LONGITUDINAL DISPERSIONS; NATURAL STREAMS; OPTIMUM MODEL; REGRESSION MODEL; REGRESSION TECHNIQUES; STATISTIC ANALYSIS; STRUCTURAL RISK MINIMIZATION; SVM MODEL;

DISPERSIONS; FUZZY INFERENCE; HYDRAULIC MACHINERY; IMAGE RETRIEVAL; REGRESSION ANALYSIS; STREAM FLOW; SUPPORT VECTOR MACHINES; VECTORS;

FUZZY SYSTEMS;

ANALYTICAL PARAMETERS; ARTICLE; CORRELATION COEFFICIENT; DISPERSION; FUZZY SYSTEM; GEOMETRY; PREDICTION; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 70449471062     PISSN: 10928758     EISSN: None     Source Type: Journal    
DOI: 10.1089/ees.2008.0360     Document Type: Article

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