2023
DOI: 10.36227/techrxiv.22678774
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Mahalanobis Distance of Reservoir States for Online Time-Series Anomaly Detection

Abstract: <p>Automated anomaly detection in time-series data has important applications in modern society. In practical settings, sequence patterns must often be evaluated in real-time under limited computational resources and scarce training data, presenting significant challenges. Reservoir computing models can help reconcile the trade-off between computational expense and precision in such situations. We propose the Mahalanobis distance of reservoir states (MD-RS) method, as an alternative to standard reservoir… Show more

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