Academic Journal
Advanced Deformation Models and Adaptive Mechanisms in Elastic Patterns.
| Τίτλος: | Advanced Deformation Models and Adaptive Mechanisms in Elastic Patterns. |
|---|---|
| Συγγραφείς: | Rodriguez-Cardos, Ruben, Olivas, Jose A. |
| Πηγή: | Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 11, p5596, 23p |
| Θεματικοί όροι: | Deformations (Mechanics), Classification, Pattern recognition systems, Parameterization |
| Περίληψη: | The concept of Elastic Patterns was originally proposed as a prototype-based classification approach that unifies perspectives from cognitive psychology, fuzzy logic, and physics. At their core, Elastic Patterns operate across two levels of deformation: a parameter-level deformation, quantified in terms of axial strain, and a pattern-level deformation, understood as the accumulation of deformation energy to perfectly fit the sample to be classified. This dual representation supports an interpretable and adaptive recognition mechanism, where classification emerges from selecting the Elastic Pattern that requires the minimal deformation energy to align with a real case to classify. This paper extends the theoretical and practical foundations of the proposed Elastic Patterns approach for adaptive pattern classification by introducing several deformation models, Spring Hardening, Weighted Spring Deformation, or Group Parameter Deformation to improve the capacity of Elastic Patterns to adapt to different contexts. These deformation models allow the proposal to adapt to different semantic contexts by controlling how parameter contraction and elongation are penalised. Additionally, novel adaptive mechanisms are introduced, which enable Elastic Patterns to dynamically adjust parameter relevance, capture inter-parameter dependencies, and better reflect contextual knowledge. Furthermore, the framework offers inherently interpretable classification via explicit parameter deformations and energies, avoiding post hoc explanations. [ABSTRACT FROM AUTHOR] |
| Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=20763417&ISBN=&volume=16&issue=11&date=20260601&spage=5596&pages=5596-5618&title=Applied Sciences (2076-3417)&atitle=Advanced%20Deformation%20Models%20and%20Adaptive%20Mechanisms%20in%20Elastic%20Patterns.&aulast=Rodriguez-Cardos%2C%20Ruben&id=DOI:10.3390/app16115596 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Items | – Name: Title Label: Title Group: Ti Data: Advanced Deformation Models and Adaptive Mechanisms in Elastic Patterns. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rodriguez-Cardos%2C+Ruben%22">Rodriguez-Cardos, Ruben</searchLink><br /><searchLink fieldCode="AR" term="%22Olivas%2C+Jose+A%2E%22">Olivas, Jose A.</searchLink> – Name: TitleSource Label: Source Group: Src Data: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 11, p5596, 23p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Deformations+%28Mechanics%29%22">Deformations (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Classification%22">Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+recognition+systems%22">Pattern recognition systems</searchLink><br /><searchLink fieldCode="DE" term="%22Parameterization%22">Parameterization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The concept of Elastic Patterns was originally proposed as a prototype-based classification approach that unifies perspectives from cognitive psychology, fuzzy logic, and physics. At their core, Elastic Patterns operate across two levels of deformation: a parameter-level deformation, quantified in terms of axial strain, and a pattern-level deformation, understood as the accumulation of deformation energy to perfectly fit the sample to be classified. This dual representation supports an interpretable and adaptive recognition mechanism, where classification emerges from selecting the Elastic Pattern that requires the minimal deformation energy to align with a real case to classify. This paper extends the theoretical and practical foundations of the proposed Elastic Patterns approach for adaptive pattern classification by introducing several deformation models, Spring Hardening, Weighted Spring Deformation, or Group Parameter Deformation to improve the capacity of Elastic Patterns to adapt to different contexts. These deformation models allow the proposal to adapt to different semantic contexts by controlling how parameter contraction and elongation are penalised. Additionally, novel adaptive mechanisms are introduced, which enable Elastic Patterns to dynamically adjust parameter relevance, capture inter-parameter dependencies, and better reflect contextual knowledge. Furthermore, the framework offers inherently interpretable classification via explicit parameter deformations and energies, avoiding post hoc explanations. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16115596 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 5596 Subjects: – SubjectFull: Deformations (Mechanics) Type: general – SubjectFull: Classification Type: general – SubjectFull: Pattern recognition systems Type: general – SubjectFull: Parameterization Type: general Titles: – TitleFull: Advanced Deformation Models and Adaptive Mechanisms in Elastic Patterns. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rodriguez-Cardos, Ruben – PersonEntity: Name: NameFull: Olivas, Jose A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 11 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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