Bagging Machine Learning Algorithms: A Generic Computing Framework Based on Machine-Learning Methods for Regional Rainfall Forecasting in Upstate New York

Bagging Machine Learning Algorithms: A Generic Computing Framework Based on Machine-Learning Methods for Regional Rainfall Forecasting in Upstate New York

Regional rainfall forecasting is an important issue in hydrology and meteorology. Machine learning algorithms especially deep learning methods have emerged as a part of prediction tools for regional rainfall forecasting. This paper aims to design and implement a generic computing framework that can...

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Bibliographic Details
Main Authors: Ning Yu, Timothy Haskins
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Informatics
Subjects:
rainfall forecasting
k-nearest neighbors
support vector machine
deep neural network
wide neural network
deep and wide neural network
Online Access:https://www.mdpi.com/2227-9709/8/3/47

Internet

https://www.mdpi.com/2227-9709/8/3/47

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