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A comparison between performance of support vector regression and artificial neural network in prediction of pipe burst rate in water distribution networks

Crossref DOI link: https://doi.org/10.1007/s12205-014-0537-8

Published Print: 2014-05

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Shirzad, Akbar

Tabesh, Massoud

Farmani, Raziyeh
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Text and Data Mining valid from 2014-05-01

Text and Data Mining valid from 2014-05-01

Version of Record valid from 2024-08-24
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This article is maintained by: Elsevier

Article Title: A comparison between performance of support vector regression and artificial neural network in prediction of pipe burst rate in water distribution networks

Journal Title: KSCE Journal of Civil Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s12205-014-0537-8

Content Type: article

Copyright: Copyright © 2014 © Korean Society of Civil Engineers and Springer-Verlag Berlin Heidelberg 2014 published by Elsevier inc. Published by Elsevier Inc.

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