A Genetic Algorithm-Based Quasi-Linear Regression Method and Application
Regression analysis,as an important branch of statistics,is an effective tool for scientific prediction.Genetic algorithm is an optimization search algorithm in computational mathematics.In this paper,a new regression model named quasi-linear regression model is established.Further,its implementation method is introduced in detail.Then by taking the population development of Hebei province as an example,we conduct the fitting problem and short-term prediction.Moreover,we compare the fitting effect and the prediction results of two models.
quasi-linear function regression analysis genetic algorithm prediction
Fachao Li Kena Zhang
School of Economy and Management Hebei University of Science and Technology Shijiazhuang, China
国际会议
太原
英文
438-441
2013-04-06（万方平台首次上网日期，不代表论文的发表时间）