Real-Time Probabilistic Flood Forecasting Using Multiple Machine Learning Methods

Real-Time Probabilistic Flood Forecasting Using Multiple Machine Learning Methods

Probabilistic flood forecasting, which provides uncertain information in the forecasting of floods, is practical and informative for implementing flood-mitigation countermeasures. This study adopted various machine learning methods, including support vector regression (SVR), a fuzzy inference model...

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Bibliographic Details
Main Authors: Dinh Ty Nguyen, Shien-Tsung Chen
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Water
Subjects:
flood
probabilistic forecasting
support vector regression
fuzzy inference
<i>k</i>-nearest neighbors
Online Access:https://www.mdpi.com/2073-4441/12/3/787

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