Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin

Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin

Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow prediction. This paper aims to identify model...

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Bibliographic Details
Main Authors: Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband, Shatirah Akib
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Water
Subjects:
river flow forecasting
stream flow
hybrid machine learning
M5 model tree
fruit fly optimization algorithm (FOA)
support vector regression
big data
deep learning
hydro-informatics
Online Access:https://www.mdpi.com/2073-4441/11/9/1934

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