Survey of Analytical Methods for Big Data of Quality Inspection

[摘要] Big data of quality inspection is consist of structured data, semi-structured data and unstructured data. It brings great challenge for data analysis as the features of huge volume, various types, high timeliness and low value density. This paper introduced the research status of semantic analysis technology based on depth learning, migration learning algorithm based on depth neural network, reinforcement learning algorithm based on depth neural network and visualization analysis from the characteristics of quality inspection data. The existence problems are analyzed and the research direction is looking forward of the on data analysis in this paper.

[发布机构] Quality Management Branch, National Institute of Standardization, Beijing; 100191, China^1;School of Computer and Information, Anqing Normal University, Anqing; 246011, China^2

[效力级别] 无线电电子学 [学科分类] 计算机科学（综合）

[关键词] Analytical method;Existence problems;Quality inspection;Semantic analysis;Semi structured data;Technology-based;Unstructured data;Visualization analysis