Research on software credibility algorithm based on deep convolutional sparse coding

Based on the author's research time, this paper studies the software credibility algorithm based on deep convolutional sparse coding. Firstly, it summarizes the convolutional sparse coding and trust classification system, and then constructs the algorithm from two aspects: factor processing bas...

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Main Author:	Xu Zhaosheng
Format:	Article
Language:	English
Published:	EDP Sciences 2021-01-01
Series:	MATEC Web of Conferences
Online Access:	https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_08013.pdf

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spelling	doaj-1c09639803384813b63c61d75f346ab82021-02-18T10:45:18ZengEDP SciencesMATEC Web of Conferences2261-236X2021-01-013360801310.1051/matecconf/202133608013matecconf_cscns20_08013Research on software credibility algorithm based on deep convolutional sparse codingXu ZhaoshengBased on the author's research time, this paper studies the software credibility algorithm based on deep convolutional sparse coding. Firstly, it summarizes the convolutional sparse coding and trust classification system, and then constructs the algorithm from two aspects: factor processing based on deep convolution neural network and trust classification based on sparse representation.https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_08013.pdf
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Xu Zhaosheng
spellingShingle	Xu Zhaosheng Research on software credibility algorithm based on deep convolutional sparse coding MATEC Web of Conferences
author_facet	Xu Zhaosheng
author_sort	Xu Zhaosheng
title	Research on software credibility algorithm based on deep convolutional sparse coding
title_short	Research on software credibility algorithm based on deep convolutional sparse coding
title_full	Research on software credibility algorithm based on deep convolutional sparse coding
title_fullStr	Research on software credibility algorithm based on deep convolutional sparse coding
title_full_unstemmed	Research on software credibility algorithm based on deep convolutional sparse coding
title_sort	research on software credibility algorithm based on deep convolutional sparse coding
publisher	EDP Sciences
series	MATEC Web of Conferences
issn	2261-236X
publishDate	2021-01-01
description	Based on the author's research time, this paper studies the software credibility algorithm based on deep convolutional sparse coding. Firstly, it summarizes the convolutional sparse coding and trust classification system, and then constructs the algorithm from two aspects: factor processing based on deep convolution neural network and trust classification based on sparse representation.
url	https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_08013.pdf
work_keys_str_mv	AT xuzhaosheng researchonsoftwarecredibilityalgorithmbasedondeepconvolutionalsparsecoding
_version_	1724263062897164288

Research on software credibility algorithm based on deep convolutional sparse coding

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