Article · 2016
Application of convolutional neural networks for anomaly detection
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Authors
Kamolova GulnoraORCID 0000-0002-0018-5194 (opens in a new tab)
Islom Karimov nomidagi Toshkent davlat texnika universiteti
Abstract
The article examines application of convolutional neural networks for anomaly detection. A comparative analysis of international experience is provided. Practical recommendations are proposed.
Bibliographic details
- DRI
- 20.1006/tdtufti/2016/v6_i1/97087172
- Work type
- Article
- Journal
- TDTU: fan, ta'lim va innovatsiyaISSN 2181-0354
- Volume and issue
- Vol. 6, No. 1
- Pages
- 6–11
- Published
- 14 February 2016
- Language
- English
- External DOI
- 10.52017/tdtufti.2016.6.1.2 (opens in a new tab)
- Passport mirror
- synced 21/09/2026, 16:47, version 1
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