Anomaly Detection in Time Series Data Using Spiking Neural Network

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Anomaly Detection in Time Series Data Using Spiking Neural Network

One of the crucial issues in anomaly detection problems is identifying abnormal patterns in time series data that contains noise and in unstructured form. In order to deal with this problem, a good detector is needed with a capability to learn the complex features in the datasets and extract useful...

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Bibliographic Details
Main Authors:	Bariah, Yusob, Zuriani, Mustaffa, Junaida, Sulaiman
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/19952/ http://umpir.ump.edu.my/id/eprint/19952/1/Anomaly%20Detection%20in%20Time%20Series%20Data%20using%20Spiking.pdf

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