| Issue |
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|
|
|---|---|---|
| Article Number | 08013 | |
| Number of page(s) | 4 | |
| Section | Network and Information Security | |
| DOI | https://doi.org/10.1051/matecconf/202133608013 | |
| Published online | 15 February 2021 | |
Research on software credibility algorithm based on deep convolutional sparse coding
1 College of Mathematics and Computer, Xinyu University, Xinyu 338000, China
* Corresponding author: 40393574@qq.com
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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