Design optimization method of pipeline parameter based on improved artificial neural network-Reference-Cited by-同舟云学术

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Design optimization method of pipeline parameter based on improved artificial neural network

Published:2024-11 Issue: Volume:304 Page:112409
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Mei Jiangtao,Cui Junguo^ORCID,Wu Lei^ORCID,Xu Shilin,Guo Qiang,Xiao Wensheng,Ye Songmao,Zhang Hui

Funder

Taishan Scholar Project of Shandong Province

Ministry of Industry and Information Technology of the People's Republic of China

National Key Research and Development Program of China

Major Scientific and Technological Innovation Project of Shandong Province

Publisher

Elsevier BV

Reference42 articles.

1. The impact of swirls on slurry flows in horizontal pipelines;Shi;J. Mar. Sci. Eng.,2021

2. Numerical and experimental investigations on pipeline internal solid-liquid mixed fluid for deep ocean mining;Dai;Ocean Eng.,2021

3. Optimal sizing and life-cycle cost modelling of pipelines transporting multi-sized solid liquid mixtures;Asim;Int. J. Pressure Vessels Pip.,2014

4. A unified MILP model for topological structure of production well gathering pipeline network;Zhang;J. Petrol. Sci. Eng.,2017

5. Global layout optimization of star-tree gas gathering pipeline network via an improved genetic optimization algorithm;Peng;J. Intell. Fuzzy Syst.,2023

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