Applications of radial-basis function and generalized regression neural networks for modeling of coagulant dosage in a drinking water-treatment plant: Comparative study

Journal of Environmental Engineering

Volumn 137, Issue 12, 2011, Pages 1209-1214

  Heddam, Salim ^a   Bermad, Abdelmalek ^b   Dechemi, Noureddine ^b  

^a UNIVERSITY OF SKIKDA   (Algeria)

^b ECOLE NATIONALE POLYTECHNIQUE   (Algeria)

Author keywords

Coagulant dosage; Coagulation; Comparative studies; Drinking water; Generalized regression neural network; Modeling; Neural networks; Radial basis function neural networks; Water treatment

Indexed keywords

ALGERIA; ARTIFICIAL NEURAL NETWORK; CHEMICAL PHENOMENAS; COAGULANT DOSAGE; COAGULATION PROCESS; COMPARATIVE STUDIES; CONVENTIONAL METHODS; GENERALIZED REGRESSION NEURAL NETWORKS; JAR TEST; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; RAW WATER;

CHEMICAL WATER TREATMENT; COAGULATION; MODELS; POTABLE WATER; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; TURBIDITY; WATER TREATMENT;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; COAGULATION; COMPARATIVE STUDY; DRINKING WATER; HYDRAULIC CONDUCTIVITY; NONLINEARITY; NUMERICAL MODEL; PH; PHYSICOCHEMICAL PROPERTY; REGRESSION ANALYSIS; TURBIDITY; WATER TREATMENT;

ALGERIA;

EID: 84855958700     PISSN: 07339372     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)EE.1943-7870.0000435     Document Type: Article

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