A hybrid model of ARIMA and MLP with a Grasshopper optimization algorithm for time series forecasting of water quality

A hybrid model of ARIMA and MLP with a Grasshopper optimization algorithm for time series forecasting of water quality

Abstract Water quality monitoring of rivers is necessary in order to properly manage their basins so that steps can be taken to control the amount of pollutants and bring them to the allowable level. The ARIMA (autoregressive integrated moving average) model does not consider nonlinear patterns in m...

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Bibliographic Details
Main Authors: Jie Su, Ziyu Lin, Fengwei Xu, Gholamreza Fathi, Khalid A. Alnowibet
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
ARIMA
MLP
Water quality
Grasshopper optimization algorithm
Forecasting
Online Access:https://doi.org/10.1038/s41598-024-74144-7
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