Application of MLP-ANN as novel tool for estimation of effect of inhibitors on asphaltene precipitation reduction-Reference-Cited by-同舟云学术

Application of MLP-ANN as novel tool for estimation of effect of inhibitors on asphaltene precipitation reduction

Published:2018-05-10 Issue:16 Volume:36 Page:1272-1277
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Baghban Alireza¹^ORCID,Hekmati Rasoul²,Hajiali Mahdi³,Janghorban Lariche Milad⁴,Kamyab Majid⁵⁶

Affiliation:

1. Department of Chemical Engineering, Amirkabir University of Technology, Mahshahr Campus, Mahshahr, Iran

2. Department of Mathematics, University of Houston, Houston, TX, USA

3. Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran

4. Abadan School of Medical Sciences, Abadan, IRAN

5. Computer Aided Process Engineering Lab (CAPE), School of Chemical Engineering, Iran

6. University of Science and Technology, IUST, Tehran, 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/10.1080/10916466.2018.1468777

Reference25 articles.

1. Development of an Artificial Neural Network Algorithm for the Prediction of Asphaltene Precipitation

2. Neural network based swarm concept for prediction asphaltene precipitation due to natural depletion

3. New approach for prediction of asphaltene precipitation due to natural depletion by using evolutionary algorithm concept

4. Prediction of asphaltene precipitation using artificial neural network optimized by imperialist competitive algorithm

5. Comparison of scaling equation with neural network model for prediction of asphaltene precipitation

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