A new approach using artificial neural networks for determination of the thermodynamic properties of fluid couples

Energy Conversion and Management

Volumn 46, Issue 15-16, 2005, Pages 2405-2418

  Şencan, Arzu ^a   Kalogirou, Soteris A ^b  

^a SULEYMAN DEMIREL UNIVERSITY   (Turkey)

^b HIGHER TECHNICAL INSTITUTE   (Cyprus)

Author keywords

Artificial neural network; Lithium bromide; Lithium chloride; Lithium iodide; Lithium nitrate; Vapor pressure

Indexed keywords

ABSORPTION; MATHEMATICAL MODELS; NEURAL NETWORKS; OZONE; REFRIGERANTS; REGRESSION ANALYSIS; VAPOR PRESSURE;

ABSORBENT COUPLES; FLUID COUPLES; MULTIPLE REGRESSION ANALYSIS; OZONE DEPLETION;

THERMODYNAMIC PROPERTIES;

EID: 17744391284     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2004.11.007     Document Type: Article

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