Anomaly Detection using LSTM AutoEncoder

Anomaly Detection using LSTM AutoEncoder

Anomaly detection means detecting samples that are different from the normal samples in the dataset. One of the great challenges in this area is finding labeled data, especially for the abnormal categories. In this paper, we propose a method that uses normal data to detect anomalies. This method is...

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Bibliographic Details
Main Authors:	Mahmoud Moallem, Ali Akbar Pouyan
Format:	Article
Language:	fas
Published:	Semnan University 2019-04-01
Series:	مجله مدل سازی در مهندسی
Subjects:	anomaly detection autoencoder lstm deep learning
Online Access:	https://modelling.semnan.ac.ir/article_3812_176825df33b04a7466d5f4fc41dc0ccb.pdf

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