The feasibility of Levenberg–Marquardt algorithm combined with imperialist competitive computational method predicting drag reduction in crude oil pipelines-Reference-Cited by-同舟云学术

The feasibility of Levenberg–Marquardt algorithm combined with imperialist competitive computational method predicting drag reduction in crude oil pipelines

Published:2020-02 Issue: Volume:185 Page:106634
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Moayedi Hossein,Aghel Babak,Vaferi Behzad,Foong Loke Kok,Bui Dieu Tien

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference63 articles.

1. Modeling and prediction of water quality parameters using a hybrid particle swarm optimization–neural fuzzy approach;Aghel;Int. J. Environ. Sci. Technol.,2018

2. Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir;Ahmadi;Appl. Soft Comput.,2013

3. Effect of pipe diameter on the performance of drag-reducing polymers in annular gas-liquid flows;Al-Sarkhi;Chem. Eng. Res. Des.,2001

4. Effect of drag reducing polymers on two-phase gas–liquid flows in a horizontal pipe;Al-sarkhi;Chem. Eng. Res. Des.,2004

5. Speed control of induction motor supplied by wind turbine via imperialist competitive algorithm;Ali;Energy,2015

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