Reformulation, as a function of only working temperatures, of performance parameters of a solar driven ejector-absorption cycle using artificial neural networks

Energy Sources

Volumn 27, Issue 12, 2005, Pages 1133-1149

  Sözen, Adnan ^a   Akçayol, M Ali ^a  

^a GAZI UNIVERSITY   (Turkey)

Author keywords

Absorption thermal system; Artificial neural network; Formulation; Multi layer feed forward; Performance

Indexed keywords

ABSORPTION; COMPUTER SIMULATION; DIFFERENTIAL EQUATIONS; ITERATIVE METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; PERFORMANCE; REFRIGERATION; SOLAR RADIATION; STATISTICAL METHODS; THERMAL EFFECTS;

ABSORPTION THERMAL SYSTEMS; FORMULATIONS; MULTI-LAYER FEED FORWARD; SIMULATIONS PROGRAMS;

THERMODYNAMICS;

EID: 24644499491     PISSN: 00908312     EISSN: None     Source Type: Trade Journal    
DOI: 10.1080/00908310490479556     Document Type: Article

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