Application of grid partitioning based fuzzy inference system as a novel predictor to estimate dynamic viscosity of n-alkane-Reference-Cited by-同舟云学术

Application of grid partitioning based fuzzy inference system as a novel predictor to estimate dynamic viscosity of n-alkane

Published:2019-10-01 Issue:23 Volume:37 Page:2309-2314
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Esfandiarian Ali¹²,Sedaghat Milad¹²,Maniatpour Ali³,Darvish Houman²

Affiliation:

1. Department of petroleum Engineering, Fars Science and Research Branch, Islamic Azad University, Marvdasht, Iran;

2. Department of Petroleum Engineering, Marvdasht branch, Islamic Azad University, Marvdasht, Iran;

3. Department of chemical engineering, Gachsaran branch, Islamic Azad University, Gachsaran, Iran

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2018.1490760

Reference27 articles.

1. Prediction of solubility of N-alkanes in supercritical CO2 using RBF-ANN and MLP-ANN

2. Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

3. Modeling of true vapor pressure of petroleum products using ANFIS algorithm

4. Estimation of air dew point temperature using computational intelligence schemes

5. Utilization of Grid partitioning based Fuzzy inference system approach as a novel method to estimate solubility of hydrocarbons in carbon dioxide

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