River Sediment Amounts Prediction with Regression and Support Vector Machine Methods.

River Sediment Amounts Prediction with Regression and Support Vector Machine Methods.

Accurate estimation of the amount of sediment in rivers; determination of pollution, river transport, determination of dam life, etc. matters are very important. In this study, sediment estimation in the river was made using Interaction Regression (IR), Pure-Quadratic Regression (PQR) and Support V...

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Bibliographic Details
Main Authors: Fatih ÜNEŞ, Bestami TAŞAR, Hakan VARÇİN, Ercan GEMİCİ
Format: Article
Language:English
Published: Cluj University Press 2022-03-01
Series:Aerul şi Apa: Componente ale Mediului
Subjects:
estimation
turbidity
regression
support vector machine
streamflow
Online Access:http://aerapa.conference.ubbcluj.ro/2022/pdf/10%20UNES%2098-107.pdf

Internet

http://aerapa.conference.ubbcluj.ro/2022/pdf/10%20UNES%2098-107.pdf

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