Neural partial differential equations for chaotic systems
Neural partial differential equations for chaotic systems
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Publisher
Bristol: IOP Publishing
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Language
English
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Publisher
Bristol: IOP Publishing
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Contents
When predicting complex systems one typically relies on differential equation which can often be incomplete, missing unknown influences or higher order effects. By augmenting the equations with artificial neural networks we can compensate these deficiencies. We show that this can be used to predict paradigmatic, high-dimensional chaotic partial dif...
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Full title
Neural partial differential equations for chaotic systems
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TN_cdi_doaj_primary_oai_doaj_org_article_ebeb766e171a464cac8d5eaf3e30b416
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ebeb766e171a464cac8d5eaf3e30b416
Other Identifiers
ISSN
1367-2630
E-ISSN
1367-2630
DOI
10.1088/1367-2630/abeb90
