Application of Neural Networks to a Predictive Extended Corresponding States Model for Pure Halocarbon Thermodynamics

International Journal of Thermophysics

Volumn 23, Issue 1, 2002, Pages 57-75

  Scalabrin, G ^a   Piazza, L ^a   Cristofoli, G ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

Density; Extended corresponding states; Feedforward neural networks; Fundamental equation of state; Helmholtz energy equation; Refrigerants; Residual functions

Indexed keywords

DENSITY (SPECIFIC GRAVITY); FEEDFORWARD NEURAL NETWORKS; HALOGEN COMPOUNDS; MATHEMATICAL MODELS; PARAFFINS; PERSONNEL TRAINING; POTENTIAL ENERGY; REFRIGERANTS;

EXTENDED CORRESPONDING STATES; FUNDAMENTAL EQUATION OF STATE; HELMHOLTZ ENERGY EQUATION; RESIDUAL FUNCTIONS;

THERMODYNAMICS;

EID: 0002443207     PISSN: 0195928X     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1013992608159     Document Type: Article

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