Missing data of quality inspection imputation algorithm base on stacked denoising auto-encoder
Xiuli Ning, Yingcheng Xu, Xiaohong W. Gao, Ying Li · 2017
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.