Modelling of a new solar air heater through least-squares support vector machines

Expert Systems with Applications

Volumn 36, Issue 7, 2009, Pages 10673-10682

  Esen, Hikmet ^a   Ozgen, Filiz ^a   Esen, Mehmet ^a   Sengur, Abdulkadir ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Efficiency; Kernel; Least squares support vector machine; Predict; Solar air heater

Indexed keywords

AIR MASS FLOW RATES; ALUMINIUM CANS; COEFFICIENT OF VARIATIONS; CONVENTIONAL METHODS; DIFFERENT MASS; DOUBLE PASS; FLAT PLATES; FLOW DUCTS; INPUT DATUM; KERNEL; KERNEL FUNCTIONS; LEAST-SQUARES SUPPORT VECTOR MACHINE; MODELLING STUDIES; MULTI-VARIABLE SYSTEMS; PREDICT; RADIAL-BASIS FUNCTIONS; REASONABLE ACCURACIES; REGULARIZATION PARAMETERS; ROOT MEAN SQUARED ERRORS; SOLAR AIR HEATER; STATISTICAL VALIDATIONS; SVM MODELS; SVM-BASED METHODS; SYSTEM EFFICIENCIES;

AIR PREHEATERS; COMPUTATIONAL FLUID DYNAMICS; COMPUTER HARDWARE; FLOW RATE; GEARS; HEATING EQUIPMENT; IMAGE RETRIEVAL; MASS TRANSFER; MULTILAYER NEURAL NETWORKS; PIPE FLOW; RADIAL BASIS FUNCTION NETWORKS; RESEARCH AIRCRAFT; SOLAR EQUIPMENT; SOLAR HEATING; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 67349154400     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.02.045     Document Type: Article

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