Comparative evaluation of classical and SARIMA-BL time series hybrid models in predicting monthly qualitative parameters of Maroon river

Comparative evaluation of classical and SARIMA-BL time series hybrid models in predicting monthly qualitative parameters of Maroon river

Abstract In the present study, seasonal autoregressive integrated moving average (SARIMA) time series models, nonlinear BL model, multi-layer perceptron artificial neural network and SARIMA-bilinear hybrid models were employed to predict the quality parameters of total dissolved solids (TDS), sodium...

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Bibliographic Details
Main Authors: Abbas Ahmadpour, Seyed Hassan Mirhashemi, Mehdi Panahi
Format: Article
Language:English
Published: SpringerOpen 2023-02-01
Series:Applied Water Science
Subjects:
Akaike statistics
Artificial neural network
Bilinear model SARIMA
Hybrid models
Ljung–Box statistics
Water saturation
Online Access:https://doi.org/10.1007/s13201-023-01876-8

Internet

https://doi.org/10.1007/s13201-023-01876-8

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