An Assessment of Time Series and Autoregressive Artificial Neural Network Models, Support Vector Machine and Gene Expression Programming Models Performance in Monthly River Flow Simulation (Case Study: Kherkherechi River Basin)

Author(s):

Mohammad Isazadeh * , Hojat Ahmadzadeh , Mohammad Ali Ghorbani , Mohammad Hassan Fazeli Fard

Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Selecting a model that simulate the runoff with high accuracy and less error, can be helpful in favorable management of water resources plans and increasing the performance of these plans. Also, increasing the accuracy of runoff simulation in the basins with no meteorological data, is of great significance in efficient management of water resources in these basins.
Keywords:

Autoregressive Runoff simulation , Time series models , Multilayer perceptron , Kherkherehchai basin

Language:
Persian
Published:
Irrigation Sciences and Engineering, Volume:40 Issue: 4, 2018
Pages:
91 to 107
https://www.magiran.com/p1792055