Survey of Analytical Methods for Big Data of Quality Inspection

Abstract

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.