Autonomous Anomaly Detection Algorithm

Version 1.0.0.4 (14 ko) par X.Gu&P.Angelov
This is the updated version of the Autonomous Anomaly Detection algorithm
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Mise à jour 11 nov. 2018

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The package contains:

1. AutonomusAnomalyDetection.m - The source code of the Autonomous Anomaly Detection algorithm;
2. demo.m - The demo

References:
[1] X. Gu, P. Angelov, “Autonomous anomaly detection”, in IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2017, pp. 1-8.
[2] X. Gu, "Self-organising Transparent Learning System," Phd Thesis, Lancaster University, 2018.

This algorithm is an improved version [2] of the autonomous anomaly detection algorithm originally published in [1]. Please cite this algorithm using the above references if this code helps.

For any queries about the codes, please contact Prof. Plamen P. Angelov (p.angelov@lancaster.ac.uk) and Dr. Xiaowei Gu (x.gu3@lancaster.ac.uk)

Programmed by Xiaowei Gu

Citation pour cette source

X. Gu, P. Angelov, “Autonomous anomaly detection”, in IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2017, pp. 1-8.

X. Gu, "Self-organising Transparent Learning System," Phd Thesis, Lancaster University, 2018.

Compatibilité avec les versions de MATLAB
Créé avec R2018a
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
1.0.0.4

The licence is updated.
1.0.0.3

Updated References
1.0.0.2

Updated Descriptions
1.0.0.1

Changed Description
1.0.0