Performance comparison of CFCs with their substitutes using artificial neural network

International Journal of Energy Research

Volumn 28, Issue 12, 2004, Pages 1113-1125

  Arcaklioǧlu, Erol ^a  

^a KIRIKKALE UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Coefficient of performance; Irreversibility; REFPROP; Refrigerant mixtures

Indexed keywords

CHLOROFLUOROCARBONS; COMPUTER SOFTWARE; DATA REDUCTION; HEAT EXCHANGERS; MIXTURES; POLLUTION CONTROL; REFRIGERANTS; SUBSTITUTION REACTIONS; TERNARY SYSTEMS; THERMODYNAMICS;

ENERGY EQUATION; MIXING RATIOS; MONTREAL PROTOCOLS; SIGMOID TRANSFER;

NEURAL NETWORKS;

CHLOROFLUOROCARBON; NEURAL NETWORK; REFRIGERANT;

EID: 4544286829     PISSN: 0363907X     EISSN: None     Source Type: Journal    
DOI: 10.1002/er.1020     Document Type: Article

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