Development Trend Prediction of Chengdu Plain Economic Zone Based on Multiple Linear Regression Grey Correlation Degree

Urban agglomeration is the mainstream trend of urban development in world. It also main form new urbanization China and an important platform to participate international competition cooperation. The pattern industrial division labor has basically taken shape Chengdu Plain Economic Zone, cooperation system been gradually established. However, phenomenon isomorphism still prominent. In process promoting coordinated development, there are some problems such as disunity understanding, imperfect mechanism, environment. regional economic potential influenced by too many entities dynamic changes structure, change ratio highly nonlinear. this paper, a MLR-GCD (Multiple Linear Regression Grey Correlation Degree) prediction model for Zone proposed. decision-making process, MLR (multiple linear regression) method introduced construct GCD (Grey training economic-related data set, then pruned transform it into standard data. experimental results show that compared with other models, improved higher accuracy prediction, can quickly accurately predict application value.