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Algorithms: Groundwater Prediction Using Machine-Learning Tools PDF

16 Pages·2021·English
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by ['Kiran Kumar']| 2021| 16 pages| English

About Algorithms: Groundwater Prediction Using Machine-Learning Tools

This document discusses using machine learning tools to predict groundwater availability from monthly groundwater maps. It proposes using a regression approach to predict full groundwater images based on past monthly maps. It compares 5 machine learning techniques on a GRACE groundwater dataset: extreme gradient boosting, multivariate linear regression, random forests, multilayer perceptron, and support vector regression. Support vector regression consistently had the lowest error. Including a global feature from a Gaussian mixture model also improved predictions over just local geographical features.

Detailed Information

Author:['Kiran Kumar']
Publication Year:2021
Pages:16
Language:English
Format:PDF
Price:FREE
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