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解早期时间序列分类使用不同长度特征增大和梯度投影技术.

Huiling Chen1, Ye Zhang1, Aosheng Tian1

  • 1College of Electronic Sciences and Technology, National University of Defense Technology, Changsha 410073, China.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
概括

本研究引入了早期时间序列分类 (ETSC) 的新方法,通过分类和早期退出任务的脱. 它增强了对不同数据长度的适应性,并解决了客观冲突,以提高时间敏感应用程序的准确性.

关键词:
过早退出 过早退出早期时间序列分类早期时间序列分类梯度投影是一种梯度投影.随机长度的断绝是随机的不同长度的时间序列分类.

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