Detection of Anomalies in Natural Complicated Data Structures Based on a Hybrid Approach

Detection of Anomalies in Natural Complicated Data Structures Based on a Hybrid Approach

A hybrid approach is proposed to detect anomalies in natural complicated data structures with high noise levels. The approach includes the application of an autoencoder neural network and singular spectrum analysis (SSA) with an adaptive anomaly detection algorithm (AADA) developed by the authors. T...

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Detalles Bibliográficos
Autores principales: Oksana Mandrikova, Bogdana Mandrikova, Oleg Esikov
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2023-05-01
Colección:Mathematics
Materias:
data analysis
anomaly detection
neural networks
wavelet transform
cosmic rays
space weather
Acceso en línea:https://www.mdpi.com/2227-7390/11/11/2464

Internet

https://www.mdpi.com/2227-7390/11/11/2464

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