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A combined support vector regression and genetic algorithm for prediction of burst pressure of corroded pipelines

A combined support vector regression and genetic algorithm for prediction of burst pressure of corroded pipelines

El Amine Ben Seghier, M., Tee, K. Fah ORCID: 0000-0003-3202-873X and Keshtegar, B (2019) A combined support vector regression and genetic algorithm for prediction of burst pressure of corroded pipelines. In: Proc. of the 2nd International Conference on Natural Hazards and Infrastructure. National Technical University of Athens. ISSN 2623-4513

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Item Type: Conference Proceedings
Title of Proceedings: Proc. of the 2nd International Conference on Natural Hazards and Infrastructure
Uncontrolled Keywords: corroded pipelines, burst pressure, support vector regression, genetic algorithm
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENN)
Last Modified: 17 Jan 2020 13:46
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/26572

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