Missing Data of Quality Inspection Imputation Algorithm ase on Stacked Denoising Auto-encoder
| 论文题目 |
Missing Data of Quality Inspection Imputation Algorithm ase on Stacked Denoising Auto-encoder |
| 作者 |
宁秀丽 |
| 年度 |
2017 |
| 发表/出版时间 |
2017/10 |
| 发表期刊/会议 |
ICBDA |
| 关键词 |
Big data of quality inspection;Stacked denoising auto-encoder;Filling algorithm |
| 摘要 |
Analyzing and processing big data of quality inspection is the key factor in ensuring product quality and People's property security.Big data of quality inspection collected by social network and E-commerce is missing in most cases. And the incompleteness of data brings huge challenge for analyzing and processing. Therefore, the algorithm of data filling based on stacked denoising auto-encoder is proposed in this text. As the experiment shows that the algorithm proposed in this text is effective in dealing with big data of quality inspection. |