Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks (2025)
- Authors:
- USP affiliated authors: RODRIGUES, FRANCISCO APARECIDO - ICMC ; SILVA, MATHEUS PALMERO - ICMC ; PIVA, LUIZA LOBER DE SOUZA - ICMC
- Unidade: ICMC
- DOI: 10.1103/wz7j-lzvs
- Subjects: APRENDIZADO COMPUTACIONAL; REDES COMPLEXAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: College Park
- Date published: 2025
- Source:
- Título: Physical Review E
- ISSN: 2470-0045
- Volume/Número/Paginação/Ano: v. 112, p. 014210-1-014210-13, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LOBER, Luiza e PALMERO, Matheus e RODRIGUES, Francisco Aparecido. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks. Physical Review E, v. 112, p. 014210-1-014210-13, 2025Tradução . . Disponível em: https://doi.org/10.1103/wz7j-lzvs. Acesso em: 16 fev. 2026. -
APA
Lober, L., Palmero, M., & Rodrigues, F. A. (2025). Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks. Physical Review E, 112, 014210-1-014210-13. doi:10.1103/wz7j-lzvs -
NLM
Lober L, Palmero M, Rodrigues FA. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks [Internet]. Physical Review E. 2025 ; 112 014210-1-014210-13.[citado 2026 fev. 16 ] Available from: https://doi.org/10.1103/wz7j-lzvs -
Vancouver
Lober L, Palmero M, Rodrigues FA. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks [Internet]. Physical Review E. 2025 ; 112 014210-1-014210-13.[citado 2026 fev. 16 ] Available from: https://doi.org/10.1103/wz7j-lzvs - Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach
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Informações sobre o DOI: 10.1103/wz7j-lzvs (Fonte: oaDOI API)
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