Artificial neural network as an applicable tool to predict the binary heat capacity of mixtures containing ionic liquids

Fluid Phase Equilibria

Volumn 324, Issue , 2012, Pages 102-107

  Lashkarbolooki, Mostafa ^a   Hezave, Ali Zeinolabedini ^b   Ayatollahi, Shahab ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHIRAZ UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Binary mixtures; Heat capacity; Ionic liquids; Property estimation

Indexed keywords

DATA POINTS; ENGINEERING INDUSTRIES; HEAT-CAPACITY DATA; HIDDEN LAYERS; NETWORK CONFIGURATION; OPTIMUM PARAMETERS; OUTPUT LAYER; PHYSIO-CHEMICAL PROPERTIES; PREDICTIVE CAPABILITIES; PROPERTY ESTIMATION; RELATIVE DEVIATIONS; TESTING DATA; TRAINING AND TESTING;

BINARY MIXTURES; IONIC LIQUIDS; OPTIMIZATION; SPECIFIC HEAT; TRANSFER FUNCTIONS;

NEURAL NETWORKS;

EID: 84861317068     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2012.03.015     Document Type: Article

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