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Updated: Jun 18, 2025

Surrogate Model Development for Digital Experiments in Welding
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asMODiTS:替代模型的应用,通过基于档案的训练集更新策略,优化时间序列象征性离散

Aldo Márquez-Grajales1, Efrén Mezura-Montes1, Héctor-Gabriel Acosta-Mesa1

  • 1Artificial Intelligence Research Institute, University of Veracruz, Campus Sur Paseo Lote II, Sección Segunda N° 112, Nuevo Xalapa, Xalapa, Veracruz 91097, Mexico.

MethodsX
|July 29, 2024
PubMed
概括

本研究引入了替代模型,以减少时间序列分类任务中时间序列增强多目标符号离散 (eMODiTS) 的计算成本. 这些模型有效地估计了分类目标,同时保持了数据多样性.

关键词:
基于档案和代理辅助的多目标方法用于时间序列的象征性离散 (asMODiTS).基于档案的更新战略埃莫迪茨 (Emodits) 是一个词.替代模型的使用方法一个象征性的隐私化.时间序列时间序列

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