Location:Training / Hot Applications / Industrial Control / Pattern Recognition Cai Xuanping, National University of Defense Technology / Neyman-Pearson Judgment, Examples

In terms of its academic connotation, pattern recognition is a subject of data processing and information analysis. In terms of its application characteristics, it belongs to the categories of artificial intelligence and machine learning. The pattern recognition course is a professional basic course for undergraduates in information engineering and related majors. It is also an elective course for many other majors and occupies a very important position in the knowledge structure. It is of great significance for consolidating learned knowledge, carrying out professional course study and future work.