Comparison between Genetic Programming and Support Vector Machine Methods for Daily River Flow Forecasting (Case Study: Barandoozchay River)
Accurate estimation of river flow can have a significant importance in water resources management. In this study, Genetic programming (GP) and Support Vector Machine (SVM) methods were used to forecast daily discharge of Barandoozchay River. The daily discharge data of Barandoozchay River measured a...
Main Authors: | F. Ahmadi, F. Radmanesh, R. Mirabbasi Najaf Abadi |
---|---|
Format: | Article |
Language: | fas |
Published: |
Ferdowsi University of Mashhad
2015-06-01
|
Series: | مجله آب و خاک |
Subjects: | |
Online Access: | http://jsw.um.ac.ir/index.php/jsw/article/view/32406 |
Similar Items
-
Application of Bayesian Networks and Genetic Programming for Predicting Daily River Flow (Case Study: Barandoozchay River)
by: Farshad Ahmadi, et al.
Published: (2016-12-01) -
Comparison of the Gen Expression Programming, Nonlinear Time Series and Artificial Neural Network in Estimating the River Daily Flow (Case Study: The Karun River)
by: R. Zamani, et al.
Published: (2015-06-01) -
Forecasting of Mean Daily Runoff Discharge of Behesht-Abad River Using Wavelet Analysis
by: Sajjad Abdollahi Asadabadi, et al.
Published: (2014-11-01) -
Investigating the Effect of Daily Discharge Sequence in River Flow Forecasting
Using Intelligent Algorithms (Case study: Kasilian watershed)
by: Haniyeh Asadi, et al.
Published: (2022-09-01) -
Alteration of Water Pollution Level with the Seasonal Changes in Mean Daily Discharge in Three Main Rivers around Dhaka City, Bangladesh
by: Md. Saiful Islam, et al.
Published: (2015-06-01)