Application of LSSVM algorithm as a novel tool for prediction of density of bitumen and heavy n-alkane mixture-Reference-Cited by-同舟云学术

Application of LSSVM algorithm as a novel tool for prediction of density of bitumen and heavy n-alkane mixture

Published:2018-05-07 Issue:15 Volume:36 Page:1137-1142
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Khosravani Haghighi Soroush¹²,Nabipour Moein²

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

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/10.1080/10916466.2018.1465958

Reference21 articles.

1. Evolving ANFIS model to estimate density of bitumen-tetradecane mixtures

2. Application of LSSVM strategy to estimate asphaltene precipitation during different production processes

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

4. Modeling of viscosity for mixtures of Athabasca bitumen and heavy n-alkane with LSSVM algorithm

5. An accurate CSA-LSSVM model for estimation of densities of ionic liquids

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