Prediction of Density, Surface Tension, and Viscosity of Quaternary Ammonium-Based Ionic Liquids ([N222(n)]Tf2N) by Means of Artificial Intelligence Techniques

Journal of Dispersion Science and Technology

Volumn 35, Issue 12, 2014, Pages 1809-1829

  Golzar, Karim ^a   Amjad Iranagh, Sepideh ^a   Modarress, Hamid ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial intelligence techniques; density; surface tension; viscosity

Indexed keywords

DENSITY (SPECIFIC GRAVITY); FORECASTING; NEURAL NETWORKS; SURFACE TENSION; THERMODYNAMIC PROPERTIES; VISCOSITY;

ARTIFICIAL INTELLIGENCE TECHNIQUES; CRITICAL TEMPERATURES; GENETIC FUNCTION APPROXIMATIONS; INPUT PARAMETER; OPERATION TEMPERATURE; PREDICTION ERRORS; QUATERNARY AMMONIUM-BASED IONIC LIQUIDS; STATISTICAL QUALITY;

IONIC LIQUIDS;

EID: 84899678322     PISSN: 01932691     EISSN: 15322351     Source Type: Journal    
DOI: 10.1080/01932691.2013.879533     Document Type: Article

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