Pipe failure rate prediction in water distribution networks using multivariate adaptive regression splines and random forest techniques-Reference-Cited by-同舟云学术

Pipe failure rate prediction in water distribution networks using multivariate adaptive regression splines and random forest techniques

Published:2019-10-21 Issue:9 Volume:16 Page:653-661
ISSN:1573-062X
Container-title:Urban Water Journal
language:en
Short-container-title:Urban Water Journal

Author:

Shirzad Akbar¹,Safari Mir Jafar Sadegh²

Affiliation:

1. Faculty of Civil Engineering, Urmia University of Technology, Urmia, Iran

2. Department of Civil Engineering, Yaşar University, Izmir, Turkey

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/1573062X.2020.1713384

Reference50 articles.

1. Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation

2. Prediction of Water Pipe Asset Life Using Neural Networks

3. Aghayee, A. (2006). “Investigation of Burst Prediction Approach for Water Distribution Systems by Evolutionary Computing.” MSc Thesis, Civil Engineering Department, Faculty of Engineering, University of Ferdowsi, Mashhad, Iran.

4. Generating Monthly Stream Flow Using Nearest River Data: Assessing Different Trees Models

5. Asnaashari, A. (2007). “Water Pipeline Failure Modeling: Statistical, Artificial Neural Network and Survival Modeling.” PhD Thesis, University of Science and Technology of Lille.

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