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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Associação Brasileira de Águas Subterrâneas
2018-01-01
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Series: | Revista Águas Subterrâneas |
Subjects: | |
Online Access: | https://aguassubterraneas.abas.org/asubterraneas/article/view/28921 |