Work

Development of a convolution algorithm for the content of a Web resource for processing by a neural network

Year: 2019

Type: conference-paper

Abstract: 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 them, processes the content vectors of Web resources. The result is a collapsed content of Web resources in the form of a vector of significant features, which is the result.

Source: IOP Conference Series Materials Science and Engineering

DOI: 10.1088/1757-899x/656/1/012021

Authors: S N Gorshkov, D V Solomonov, I V Dvoryaninova, R M Mihaylichenko

Institution: North-Caucasus Federal University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2993944938

FWCI:

Cites: 1

Cited by:

Related to: 10