A novel ANFIS model to prediction of the density of n-alkane in different operational condition. (17th December 2019)

• Record Type: Journal Article
• Authors: Rajabi Kuyakhi, Hossein; Tahmasbi Boldaji, Ramin
• Is Part Of: Petroleum science and technology. Volume 37:Number 24(2019)
• Page Start: 2429
• Page End: 2434
• Publication Date: 2019-12-17
• Subjects: density -- adaptive neuro-fuzzy interference system -- n-alkane -- oil and gas industries -- statistical parameters; Liquid fuels -- Periodicals; Petroleum -- Periodicals; 665.505
• DOI: 10.1080/10916466.2019.1616756
• Languages: English
• ISSNs: 1091-6466

Abstract

Abstract: The density has an important role in the oil and gas industries calculation. In this study, an adaptive neuro-fuzzy interference system (ANFIS) model was employed to predict the density of n-alkane. The result obtained by the ANFIS model analyzed with the statistical parameters (i.e., MSE, RMSE, and R 2 ) and graphical method. According to the result obtained the ANFIS has the highest accuracy with R 2 = 0.999, MSE = 0.1438, and RMSE = 0.3792.