Empirical Data-Based Condition Prediction for Stormwater Pipelines with Machine Learning
Author:
Affiliation:
1. UNC Charlotte,Infrastructure and Environmental Systems Program,Charlotte,NC,USA
2. UNC Charlotte,Department of ETCM,Charlotte,NC,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9763896/9763889/09764033.pdf?arnumber=9764033
Reference28 articles.
1. Development of a Fuzzy Based Pipe Condition Assessment Model Using PROMETHEE
2. Culvert Asset Management Practices and Deterioration Modeling
3. Sewer Pipeline Operational Condition Prediction Using Multiple Regression
4. Service Life of Concrete and Metal Culverts Located in Ohio Department of Transportation Districts 9 and 10;urrea;Ph D Dissertation,2014
5. Pipeline Condition Prediction Using Neural Network Models
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