Application of convolutional neural networks for preventing information leakage in open internet resources
- 作者: Zhukov D.O.1, Akimov D.A.1, Red’kin O.K.1, Los’ V.P.1
-
隶属关系:
- Moscow Technological University
- 期: 卷 51, 编号 8 (2017)
- 页面: 888-893
- 栏目: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175030
- DOI: https://doi.org/10.3103/S0146411617080314
- ID: 175030
如何引用文章
详细
The architecture of convolutional neural networks has been considered, including the types of layers used and the principles of their operation, settings, and training features. The possibilities of applying this type of network to solve the problems of information leakage prevention in natural language have been described. The possibility of applying them to solve the problem of classifying Internet pages that serve as web resources to identify pages of interest has been studied.
作者简介
D. Zhukov
Moscow Technological University
编辑信件的主要联系方式.
Email: zhukovdm@yandex.ru
俄罗斯联邦, Moscow
D. Akimov
Moscow Technological University
Email: zhukovdm@yandex.ru
俄罗斯联邦, Moscow
O. Red’kin
Moscow Technological University
Email: zhukovdm@yandex.ru
俄罗斯联邦, Moscow
V. Los’
Moscow Technological University
Email: zhukovdm@yandex.ru
俄罗斯联邦, Moscow
补充文件
