Using a library of chemical reactions to fit systems of ordinary differential equations to agent-based models: a machine learning approach.
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| Title: | Using a library of chemical reactions to fit systems of ordinary differential equations to agent-based models: a machine learning approach. |
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| Authors: | Burrage, Pamela M.1, Weerasinghe, Hasitha N.1, Burrage, Kevin1,2, kevin.burrage@qut.edu.au |
| Source: | Numerical Algorithms; Jul2024, Vol. 96 Issue 3, p1063-1077, 15p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 177714105 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177714105 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11075-023-01737-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1063 Titles: – TitleFull: Using a library of chemical reactions to fit systems of ordinary differential equations to agent-based models: a machine learning approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burrage, Pamela M. – PersonEntity: Name: NameFull: Weerasinghe, Hasitha N. – PersonEntity: Name: NameFull: Burrage, Kevin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10171398 Numbering: – Type: volume Value: 96 – Type: issue Value: 3 Titles: – TitleFull: Numerical Algorithms Type: main |
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