Optimizing SVM Model as Predicting Model for Sewer Pipes in the Two Main Cities in Colombia

Nathalie Hernández; Nicolas Caradot; Hauke Sonnenberg; Pascale Rouault; Andrés Torres

doi:10.1007/978-3-319-99867-1_159

Optimizing SVM Model as Predicting Model for Sewer Pipes in the Two Main Cities in Colombia

Nathalie Hernández
, Nicolas Caradot
, Hauke Sonnenberg
, Pascale Rouault
, Andrés Torres

Pontificia Universidad Javeriana
Kompetenzzentrum Wasser Berlin

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

As in most of the cities around the world, in the last 30 years Latin-American ones have focused on investing in building infrastructure to provide sewer and water services to the communities. However, these infrastructures are going aging day to day. The municipalities need to extend management activities by the development of support tools such as deterioration models to face the aging problem. In the literature of sewer asset management, SVM has been a useful tool to predict and forecast the structural condition of pipes. In this work, the use of differential evolution method as optimization tool was implemented to find the optimal hyper-parameters for SVM models. The SVM models were applied in the main cities of Colombia (Bogota and Medellin) given as a result that the optimized SVM model provides less than 5% of deviation in the prediction of structural conditions in both cities.

Idioma original	Inglés
Título de la publicación alojada	New Trends in Urban Drainage Modelling - UDM 2018
Editores	Giorgio Mannina
Editorial	Springer Verlag
Páginas	926-931
Número de páginas	6
ISBN (versión impresa)	9783319998664
DOI	https://doi.org/10.1007/978-3-319-99867-1_159
Estado	Publicada - 2018
Evento	11th International Conference on Urban Drainage Modelling, UDM 2018 - Palermo, Italia Duración: 23 sept 2018 → 26 sept 2018

Serie de la publicación

Nombre	Green Energy and Technology
ISSN (versión impresa)	1865-3529
ISSN (versión digital)	1865-3537

Conferencia

Conferencia	11th International Conference on Urban Drainage Modelling, UDM 2018
País/Territorio	Italia
Ciudad	Palermo
Período	23/09/18 → 26/09/18

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

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@inproceedings{05267e888ed0428bbe0e46b98a1c4d14,

title = "Optimizing SVM Model as Predicting Model for Sewer Pipes in the Two Main Cities in Colombia",

abstract = "As in most of the cities around the world, in the last 30 years Latin-American ones have focused on investing in building infrastructure to provide sewer and water services to the communities. However, these infrastructures are going aging day to day. The municipalities need to extend management activities by the development of support tools such as deterioration models to face the aging problem. In the literature of sewer asset management, SVM has been a useful tool to predict and forecast the structural condition of pipes. In this work, the use of differential evolution method as optimization tool was implemented to find the optimal hyper-parameters for SVM models. The SVM models were applied in the main cities of Colombia (Bogota and Medellin) given as a result that the optimized SVM model provides less than 5\% of deviation in the prediction of structural conditions in both cities.",

keywords = "Deviation analysis, Differential evolution method, Optimization, Sewer asset management, Support vector machines",

author = "Nathalie Hern{\'a}ndez and Nicolas Caradot and Hauke Sonnenberg and Pascale Rouault and Andr{\'e}s Torres",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 11th International Conference on Urban Drainage Modelling, UDM 2018 ; Conference date: 23-09-2018 Through 26-09-2018",

year = "2018",

doi = "10.1007/978-3-319-99867-1\_159",

language = "English",

isbn = "9783319998664",

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booktitle = "New Trends in Urban Drainage Modelling - UDM 2018",

address = "Germany",

}

Hernández, N, Caradot, N, Sonnenberg, H, Rouault, P & Torres, A 2018, Optimizing SVM Model as Predicting Model for Sewer Pipes in the Two Main Cities in Colombia. En G Mannina (ed.), New Trends in Urban Drainage Modelling - UDM 2018. Green Energy and Technology, Springer Verlag, pp. 926-931, 11th International Conference on Urban Drainage Modelling, UDM 2018, Palermo, Italia, 23/09/18. https://doi.org/10.1007/978-3-319-99867-1_159

Optimizing SVM Model as Predicting Model for Sewer Pipes in the Two Main Cities in Colombia. / Hernández, Nathalie; Caradot, Nicolas; Sonnenberg, Hauke et al.
New Trends in Urban Drainage Modelling - UDM 2018. ed. / Giorgio Mannina. Springer Verlag, 2018. p. 926-931 (Green Energy and Technology).

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Optimizing SVM Model as Predicting Model for Sewer Pipes in the Two Main Cities in Colombia

AU - Hernández, Nathalie

AU - Caradot, Nicolas

AU - Sonnenberg, Hauke

AU - Rouault, Pascale

AU - Torres, Andrés

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2018

Y1 - 2018

N2 - As in most of the cities around the world, in the last 30 years Latin-American ones have focused on investing in building infrastructure to provide sewer and water services to the communities. However, these infrastructures are going aging day to day. The municipalities need to extend management activities by the development of support tools such as deterioration models to face the aging problem. In the literature of sewer asset management, SVM has been a useful tool to predict and forecast the structural condition of pipes. In this work, the use of differential evolution method as optimization tool was implemented to find the optimal hyper-parameters for SVM models. The SVM models were applied in the main cities of Colombia (Bogota and Medellin) given as a result that the optimized SVM model provides less than 5% of deviation in the prediction of structural conditions in both cities.

AB - As in most of the cities around the world, in the last 30 years Latin-American ones have focused on investing in building infrastructure to provide sewer and water services to the communities. However, these infrastructures are going aging day to day. The municipalities need to extend management activities by the development of support tools such as deterioration models to face the aging problem. In the literature of sewer asset management, SVM has been a useful tool to predict and forecast the structural condition of pipes. In this work, the use of differential evolution method as optimization tool was implemented to find the optimal hyper-parameters for SVM models. The SVM models were applied in the main cities of Colombia (Bogota and Medellin) given as a result that the optimized SVM model provides less than 5% of deviation in the prediction of structural conditions in both cities.

KW - Deviation analysis

KW - Differential evolution method

KW - Optimization

KW - Sewer asset management

KW - Support vector machines

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AN - SCOPUS:85071521995

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T3 - Green Energy and Technology

SP - 926

EP - 931

BT - New Trends in Urban Drainage Modelling - UDM 2018

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Optimizing SVM Model as Predicting Model for Sewer Pipes in the Two Main Cities in Colombia

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