Prediction of solubility of gases in polystyrene by Adaptive Neuro-Fuzzy Inference System and Radial Basis Function Neural Network

Expert Systems with Applications

Volumn 37, Issue 4, 2010, Pages 3070-3074

  Khajeh, Aboozar ^a   Modarress, Hamid ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Adaptive Neuro Fuzzy Inference System (ANFIS); Polystyrene; Radial Basis Function Neural Network (RBF NN); Solubility

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS); CLASSICAL METHODS; HFC-134A; PRESSURE AND TEMPERATURE; RADIAL BASIS FUNCTION NEURAL NETWORK (RBF NN); RADIAL BASIS FUNCTION NEURAL NETWORKS; TETRAFLUOROETHANE;

ATTITUDE CONTROL; BUTANE; BUTENES; CARBON DIOXIDE; FUZZY INFERENCE; LIQUEFIED PETROLEUM GAS; NEURAL NETWORKS; POLYSTYRENES; RADIAL BASIS FUNCTION NETWORKS; SOLUBILITY; TERNARY SYSTEMS;

FUZZY SYSTEMS;

EID: 71549124961     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.09.023     Document Type: Article

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