Prediction of Language Development and Establishment of International Offices 

Fanfan Wu, Xiaofeng Ji, Hui Li

Qingdao University of Technology, Qingdao, 266520, China

Abstract: First, correlation analysis is conducted on the data of influencing factors.Based on the data of its number and influencing factors, multiple linear regression equation model 1 and model 2 are established; Se-condly, a time series prediction model is established based on the 5 year data of these influencing factors,and the trend moving average method is used to predict the data of these influencing factors after 50 years; Then, using the algorithm represented by pseudo code and three kinds of network diagrams realized by e-chars,the agent model of language competition is established to describe the change of geographical distribution of lan-guage; Then,using the algorithm represented by pseudo code and three kinds of network diagrams realized by e-chars, the agent model of language competition is established to describe the change of geographical distri-bution of language.

Keywords: Multivariablelinear regression model; Time series model; Languagecompetitionagentmodel; Multi-objectiveprogrammingmodel; Improved Multi-objective programming model