Development of a convolution algorithm for the content of a Web resource for processing by a neural network
The article aim to develop a convolution algorithm for the content of Web resources for processing by a neural network. The content of a web resource is represented in a vector form based on a co-occurrence matrix. A convolutional neural network, where the most significant features stand out from th...
Saved in:
Main Authors: | Gorshkov, S. N., Горшков, С. Н., Solomonov, D. V., Соломонов, Д. В., Dvoryaninova, I. V., Дворянинова, И. В., Mikhajlichenko, R. M., Михайличенко, Р. М. |
---|---|
Format: | Статья |
Language: | English |
Published: |
Institute of Physics Publishing
2020
|
Subjects: | |
Online Access: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85078268428&origin=resultslist&sort=plf-f&src=s&st1=Development+of+a+convolution+algorithm+for+the+content+of+a+Web+resource+for+processing+by+a+neural+network&st2=&sid=a3e76f16b5f433b09b2d71f42ff67206&sot=b&sdt=b&sl=122&s=TITLE-ABS-KEY%28Development+of+a+convolution+algorithm+for+the+content+of+a+Web+resource+for+processing+by+a+neural+network%29&relpos=0&citeCnt=0&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/11267 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Residue number system-based solution for reducing the hardware cost of a convolutional neural network
by: Chervyakov, N. I., et al.
Published: (2020) -
Image recognition by a second-order convolutional neural network with dynamic receptive fields
by: Nemkov, R. M., et al.
Published: (2018) -
Theoretical Analysis of the Convolutional Neural Networks Acceleration by Organizing Calculations According to the Winograd Method
by: Abdulsalyamova, A. S., et al.
Published: (2023) -
Using of a convolutional neural network with changing receptive fields in the tasks of image recognition
by: Nemkov, R. M., et al.
Published: (2018) -
Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
by: Valueva, M. V., et al.
Published: (2020)