Use of support vector machine for prediction of groundwater levels

This work had a purpose to use a regression technique with Support Vector Machine (SVM) to predict daily water-table levels of groundwater in a monitoring well on unconfined aquifer in the west of Rio Grande do Sul. For that, was used time series of static water level and rainfall, comprising daily...

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Bibliographic Details
Main Authors: Thiago Boeno Patricio Luiz, Guilherme Freitas Gaiardo, José Luiz Silvério da Silva
Format: Article
Language:English
Published: Associação Brasileira de Águas Subterrâneas 2018-01-01
Series:Revista Águas Subterrâneas
Subjects:
Online Access:https://aguassubterraneas.abas.org/asubterraneas/article/view/28921