A Comparative Analysis of Hidden Markov Model, Hybrid Support Vector Machines, and Hybrid Artificial Neural Fuzzy Inference System in Reservoir Inflow Forecasting (Case Study: The King Fahd Dam, Saudi Arabia)

A Comparative Analysis of Hidden Markov Model, Hybrid Support Vector Machines, and Hybrid Artificial Neural Fuzzy Inference System in Reservoir Inflow Forecasting (Case Study: The King Fahd Dam, Saudi Arabia)

The precise prediction of the streamflow of reservoirs is of considerable importance for many activities relating to water resource management, such as reservoir operation and flood and drought control and protection. This study aimed to develop and evaluate the applicability of a hidden Markov mode...

Full description

Bibliographic Details
Main Authors: Mohammed M. Alquraish, Khaled A. Abuhasel, Abdulrahman S. Alqahtani, Mosaad Khadr
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Water
Subjects:
reservoir inflow forecasting
artificial neural fuzzy inference system
support vector machine
genetic algorithm
Online Access:https://www.mdpi.com/2073-4441/13/9/1236

Similar Items

Similar Items