Optimizing SVM models as predicting tools for sewer pipes conditions in the two main cities in Colombia for different sewer asset management purposes-Reference-Cited by-同舟云学术

Optimizing SVM models as predicting tools for sewer pipes conditions in the two main cities in Colombia for different sewer asset management purposes

Published:2020-03-06 Issue:2 Volume:17 Page:156-169
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Hernández Nathalie¹^ORCID,Caradot Nicolas²^ORCID,Sonnenberg Hauke²^ORCID,Rouault Pascale²^ORCID,Torres Andrés¹^ORCID

Affiliation:

1. Civil Engineering Department, Pontificia Universidad Javeriana, Bogotá, Colombia;

2. Urban water department, Kompetenzzentrum Wasser Berlin, Berlin, Germany

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2020.1733029

Reference43 articles.

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4. AWWA (2012). Buried no longer: confronting America’s water infrastructure challenge, AWWA’s infrastructure financing report. Boulder, CO.

5. Estimating Transition Probabilities in Markov Chain-Based Deterioration Models for Management of Wastewater Systems

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