Estimation of thermophysical properties of dimethyl ether as a commercial refrigerant based on artificial neural networks

Expert Systems with Applications

Volumn 37, Issue 12, 2010, Pages 7755-7761

  Moghadassi, A R ^a   Nikkholgh, M R ^a   Parvizian, F ^a   Hosseini, S M ^a  

^a ARAK UNIVERSITY   (Iran)

Author keywords

Density; Dimethyl ether; Equation state; Neural network; Vapor pressure

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; DENSITY (SPECIFIC GRAVITY); EQUATIONS OF STATE; ETHERS; FORECASTING; FUELS; HYDROSTATIC PRESSURE; MULTILAYER NEURAL NETWORKS; NETWORK LAYERS; NEURAL NETWORKS; THERMODYNAMIC PROPERTIES; VAPOR PRESSURE;

ANN PREDICTION; DIMETHYL ETHERS; EQUATION STATE; LEVENBERG-MARQUARDT TRAINING ALGORITHM; NETWORK CONFIGURATION; NETWORK PREDICTION; SATURATED LIQUID; THREE-LAYER;

DEEP NEURAL NETWORKS;

EID: 77957856524     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.04.065     Document Type: Article

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