A Review of Neural Networks for Anomaly Detection

A Review of Neural Networks for Anomaly Detection

Anomaly detection is a critical issue across several academic fields and real-world applications. Artificial neural networks have been proposed to detect anomalies from different input types, but there is no clear guide to deciding which model to use in a specific case. Therefore, this study examine...

Full description

Bibliographic Details
Main Authors: Jose Edson De Albuquerque Filho, Laislla C. P. Brandao, Bruno Jose Torres Fernandes, Alexandre M. A. Maciel
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Anomaly detection
neural networks
outlier detection
systematic review
Online Access:https://ieeexplore.ieee.org/document/9925159/

Internet

https://ieeexplore.ieee.org/document/9925159/

Similar Items