Estimation of a logistic regression model by a genetic algorithm to predict pipe failures in sewer networks

Author:

Robles-Velasco AliciaORCID,Cortés Pablo,Muñuzuri Jesús,Onieva Luis

Funder

Cátedra del Agua

PPIT-US

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Business, Management and Accounting (miscellaneous)

Reference28 articles.

1. AEAS. (2016). XIV Estudio Nacional de Suministro de Agua Potable y Saneamiento en España. http://www.aeas.es/servlet/mgc?pg=ListNews&ret=next&news_id=1249&areaCode=publicarea&newsCategory=Noticias

2. Anbari MJ, Tabesh M, Roozbahani A (2017) Risk assessment model to prioritize sewer pipes inspection in wastewater collection networks. J Environ Manage 190:91–101. https://doi.org/10.1016/j.jenvman.2016.12.052

3. Bailey J, Keedwell E, Djordjevic S, Kapelan Z, Burton C, Harris E (2015) Predictive risk modelling of real-world wastewater network incidents. Procedia Eng 119(1):1288–1298. https://doi.org/10.1016/j.proeng.2015.08.949

4. Cox DR, Snell EJ (1989) Analysis of binary data, 2nd edn. Chapman and Hall Ltd, London. ISBN 9780412306204  

5. Fan R-E, Chang K-W, Hsieh C-J, Wang X-R, Lin C-J (2008) LIBLINEAR: a library for large linear classification. J Mach Learn Res 9:1871–1874

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