LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Prediction of solubility of ammonia in liquid electrolytes using Least Square Support Vector Machines

Photo from wikipedia

Abstract Liquid electrolytes or ionic liquids (ILs) are a new class of environmentally friendly solvents which is highly promising for refrigeration and air conditioning applications in chemical industrial processes. In… Click to show full abstract

Abstract Liquid electrolytes or ionic liquids (ILs) are a new class of environmentally friendly solvents which is highly promising for refrigeration and air conditioning applications in chemical industrial processes. In this contribution, Least Square Support Vector Machine (LS-SVM) models have been utilized to predict the solubility of ammonia in ILs as a function of molecular weight (MW), critical temperature (Tc) and critical pressure (Pc) of pure ILs over wide ranges of temperature, pressure, and concentration. To this end, 352 experimental data points were collected from the published papers. Moreover, to verify the accuracy of the proposed models, statistical analyses such as regression coefficient, mean square error (MSE), average absolute deviation (AAD), standard deviation (STD) and root mean square error (RMSE) have been conducted on the calculated values. The results show the excellent performance of LSSVM models to predict the solubility of ammonia in different liquid electrolytes.

Keywords: least square; solubility ammonia; square support; liquid electrolytes

Journal Title: Ain Shams Engineering Journal
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.