The Evolution Of Pattern Recognition Research Frontier And Visual Analysis Of Technological Opportunities

Since the beginning of the 21st century,all countries in the world have set their sights on the field of artificial intelligence,hoping to occupy a seat in this brand-new field.This paper selects a very important research direction in artificial intelligence---pattern recognition as a research topic to carry out all-round Analysis and elaboration.The research content is as follows:First of all,the author analyzes at the macro and micro levels according to the time dimension,and finds in this field have maintained a growth trend,and the growth of this field presents a wave-like continuous development model.Secondly,through the time zone map,the evolution of pattern recognition is:2010-2011,feature extraction,immune response,etc.are hot spots.The hot topics of pattern recognition research in 2012-2014 include similarity measurement,mutation,EMG,phosphate The research focuses on the field of bio-medicine.Since 2015,with the rise of the artificial intelligence boom,computer technologies such as deep learning and constructional neural networks have become new research topics in pattern recognition.Next is the analysis of pattern recognition subjects(countries,institutions,authors),the author is divided into three modules to elaborate,respectively:?Overall analysis of all articles in the field of pattern recognition in the past ten years;?The paper with higher citation frequency Visual analysis;? use the CiteSpace mutation detection function to analyze the evolution of each angle in the past ten years,through a comparative analysis of the three:China and the United States have absolute say in the field of pattern recognition,but it is not difficult to find that China currently exists The following points:Although China is a bit ahead of the United States in the analysis of these three perspectives,it is far behind the United States in the analysis of the literature with higher citation frequency,that is to say,China is currently only leading in quantity.However,there is still a big gap in quality from the United States.Chinese authors and cooperation networks are only limited to domestic authors,and cooperation with foreign authors needs to be increased.Co-occurrence analysis of the keywords in the literature yields:?pattern recognition receptors,natural immunity,activation,recognition Words such as identity,identification,expression,system,feature extraction,model,support vector machine and algorithm make up the,psychometric,characteristically;?managers,metabolomics,pathways,induction,spectroscopy,facial recognition,design,immunity,selection,machines Learning has become an emerging field and frontier of research hotspots.Finally,the author believes that only analyzing the content of the paper is not enough to show the integrity of the pattern recognition field.The theoretical article will eventually be converted into technology to achieve it.Therefore,this paper obtained the analysis of the patent knowledge subject in the field of pattern recognition and technical opportunity mining.:We are still far behind the first group of the United States,Japan,and South Korea in terms of patents.Through the two-party demonstration of patents and papers,the author believes that researchers can have a better understanding of the field of pattern recognition research.