A novel ANFIS model to prediction of the density of n-alkane in different operational condition.

Autor:	Rajabi Kuyakhi, Hossein, Tahmasbi Boldaji, Ramin
Předmět:	ALKANES PREDICTION models DENSITY GAS industry PETROLEUM industry STATISTICAL models
Zdroj:	Petroleum Science & Technology; 2019, Vol. 37 Issue 24, p2429-2434, 6p
Abstrakt:	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 R2) and graphical method. According to the result obtained the ANFIS has the highest accuracy with R2 = 0.999, MSE = 0.1438, and RMSE = 0.3792. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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