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An Enhanced Neural Network Forecasting System for July Precipitation over the Middle-Lower Reaches o...

An Enhanced Neural Network Forecasting System for July Precipitation over the Middle-Lower Reaches o...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2296da3ca14242138486cce36b8e9d12

An Enhanced Neural Network Forecasting System for July Precipitation over the Middle-Lower Reaches of the Yangtze River

About this item

Full title

An Enhanced Neural Network Forecasting System for July Precipitation over the Middle-Lower Reaches of the Yangtze River

Author / Creator

Publisher

Basel: MDPI AG

Journal title

Atmosphere, 2025-02, Vol.16 (3), p.272

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Forecasting July precipitation using prophase winter sea surface temperature through a nonlinear machine learning model remains challenging. Given the scarcity of observed samples and more attention should be paid to anomalous precipitation events, the shallow neural network (NN) and several improving techniques are employed to establish the statis...

Alternative Titles

Full title

An Enhanced Neural Network Forecasting System for July Precipitation over the Middle-Lower Reaches of the Yangtze River

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2296da3ca14242138486cce36b8e9d12

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2296da3ca14242138486cce36b8e9d12

Other Identifiers

ISSN

2073-4433

E-ISSN

2073-4433

DOI

10.3390/atmos16030272

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