Risk-Informed Prediction of Dredging Project Duration Using Stochastic Machine Learning

Risk-Informed Prediction of Dredging Project Duration Using Stochastic Machine Learning

Dredging engineering projects are complex because they involve greater uncertainty from the natural environment, social needs, government policy and many stakeholders. Engineering companies submit tenders that draw on similar cases undertaken in recent years. However, weather, earthquakes, typhoons...

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Bibliographic Details
Main Authors: Jui-Sheng Chou, Ji-Wei Lin
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Water
Subjects:
dredging engineering project
project planning and management
duration estimation
machine learning
metaheuristic optimization
Monte Carlo simulation
Online Access:https://www.mdpi.com/2073-4441/12/6/1643

Internet

https://www.mdpi.com/2073-4441/12/6/1643

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