Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management

Document type :

Article dans une revue scientifique: Article original

DOI :

Permalink :

Title :

Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management

Author(s) :

Journal title :

Int. J. Inf. Manage.

Abbreviated title :

Int. J. Inf. Manage.

Pages :

Publication date :

2021-03-21

ISSN :

0268-4012

English keyword(s) :

Autoencoder
Long short term memory networks
Anomaly detection
One-class SVM
Forecasting

HAL domain(s) :

Sciences de l'ingénieur [physics]

Language :

Anglais

Collections :

Submission date :

2023-06-20T11:43:13Z

Version	Link	Modification date
2	20.500.12210/84907	2024-03-14T09:29:25Z
1	20.500.12210/84907.1*	2023-06-20T11:43:13Z

Forecasting and Anomaly Detection approaches ...

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