Research on dual-adgan model for anomaly detection method in time-series data

HIGHLIGHTS

• who: Xingyu Gong and colleagues from the College of Computer Science and Technology, Xi`an University of Science and Technology, Xi`an, China have published the research work: Research on DUAL-ADGAN Model for Anomaly Detection Method in Time-Series Data, in the Journal: Computational Intelligence and Neuroscience of 26/Oct/2022
• what: Aiming at the above problems the paper proposes a DUAL-ADGAN (Dual Anomaly Detection Generative Adversarial Networks) model for the detection of anomalous data in time series. Anomaly detection methods based on traditional probability statistics require statistical assumptions about the model through . . .
  

   

  

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