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Updated: Jul 7, 2025

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ACVAE:一个新的自我对抗的变化自动编码器,结合对比学习,用于时间序列异常检测

Xiaoxia Zhang1, Shang Shi1, HaiChao Sun1

  • 1Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China; Key Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China.

Neural networks : the official journal of the International Neural Network Society
|December 23, 2023
PubMed
概括

这项研究引入了一种具有对比学习 (ACVAE) 的新型自我对抗变异自动编码器,用于在复杂时间序列中改进异常检测. 该ACVAE模型通过减轻后部崩和减少假阳性等问题来提高检测准确性.

关键词:
异常检测检测异常检测异常解释的解释相反的学习学习相反的学习深度生成模型深度生成模型多变量时间序列.变化自动编码器 (VAE)

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