Log in to save to my catalogue

A hybrid model of ARIMA and MLP with a Grasshopper optimization algorithm for time series forecastin...

A hybrid model of ARIMA and MLP with a Grasshopper optimization algorithm for time series forecastin...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d97a11913f644e5da0e2c3c206669d9d

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

About this item

Full title

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

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-10, Vol.14 (1), p.23927-21, Article 23927

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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 modeling water quality components. Also, in modeling using t...

Alternative Titles

Full title

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

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d97a11913f644e5da0e2c3c206669d9d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d97a11913f644e5da0e2c3c206669d9d

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-74144-7

How to access this item