A Novel ANFIS-PSO Network for forecasting oil flocculated asphaltene weight percentage at wide range of operation conditions-Reference-Cited by-同舟云学术

A Novel ANFIS-PSO Network for forecasting oil flocculated asphaltene weight percentage at wide range of operation conditions

Published:2018-04-16 Issue:14 Volume:36 Page:1044-1050
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Liu Zhenling¹²,Zhang Dangquan²,Peng Wanxi²³

Affiliation:

1. School of Management, Henan University of Technology, zhengzhou, China

2. College of forestry, Henan Agricultural University, zhengzhou, China

3. School of Materials Science and Engineering, Central South University of Forestry and Technology, Changsha, China

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/10.1080/10916466.2018.1460608

Reference14 articles.

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

2. A model for estimation of permeability and free flowing porosity

3. Implementing a PSO-ANFIS model for prediction of viscosity of mixed oils

4. A new optimizer using particle swarm theory

5. Viscosity estimation of mixed oil using RBF-ANN approach

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