Raisi Sistani, M. R.
1. Department of Water Science Engineering, Faculty of Soil and Water, University of Zabol, Zabol, Iran.
[ 1 ] - 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 the statistical period of 49 years. For this purpose, the daily data for the 1996-2004 period we...
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