Performance Evaluation of ARIMA Hybrid Models in the Prediction of Daily Electrical Conductivity (A Case Study of Telazang Hydrometric Station)

Performance Evaluation of ARIMA Hybrid Models in the Prediction of Daily Electrical Conductivity (A Case Study of Telazang Hydrometric Station)

In this study, we used the ARIMA time series model, the fuzzy-neural inference network, multi-layer perceptron artificial neural network, and ARIMA-ANN, ARIMA-ANFIS hybrid models for the modeling and prediction of the daily electrical conductivity parameter of daily teleZang hydrometric station over...

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Bibliographic Details
Main Authors: A. Ahmadpour, S. H. Mirhashemi, P. Haghighatjou, M. R. Raisi Sistani
Format: Article
Language:fas
Published: Isfahan University of Technology 2020-11-01
Series:علوم آب و خاک
Subjects:
water quality
neural fuzzy inference network
arima
neural network
hybrid models.
Online Access:http://jstnar.iut.ac.ir/article-1-3980-en.html

Internet

http://jstnar.iut.ac.ir/article-1-3980-en.html

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