Application Of Support Vector Machine In The Analysis Of Population Data

Statistical learning theory is a machine learning theory for small samples.Its core idea is to control the generalization ability of the learning machine by controlling the complexity of the learning machine.According to this theory,the development of support vector machine is based on the principle of VC dimension and structural risk minimization,Support vector machines have many advantages.Its appearance has solved the practical problems such as learning,nonlinear,high dimension and so on.Now,support vector machine is applied to every field of life,and solve some practical problems.This paper mainly introduces the characteristics of support vector machine and its application in the analysis of population data.The introduction of this paper mainly expounds the background of the selected topic and the significance of the study,and the research status of support vector machine at home and abroad is introduced.The second chapter briefly introduces the development history of machine learning and the problems related to machine learning.The third chapter is the brief introduction of statistical theory,Including statistical study of the main content,VC dimension,extension of the boundary,structural wind direction and other related concepts and content.The fourth chapter focuses on the relevant content of support vector machine,including linear support vector machines and nonlinear support vector machines.This chapter also introduces the concept of kernel function and the support vector machine regression machine.In the fifth chapter,the characteristics and advantages of support vector machine are discussed.The sixth chapter is the key content of this paper,according to the collected data about the total population of Shenyang city in 2002 to the end of 2014 as the data,using support vector machine to build a model for population prediction.Two kinds of support vector machine models are established in this chapter Forecast the total population of Shenyang in the next five years.In the seventh chapter,the relationship between the population and GDP of Shenyang is found,Explain the importance of predicting the population.Finally,the characteristics of the support vector machine method are summarized,and the future development of the support vector machine is proposed,and the future research direction is proposed.