| With the development of international division of labor and under the circumstance of economic globalization and industry localization, SME (Small and Medium Enterprise) cluster growth, as a widely existed economic phenomenon, has come into the view of both theoretical and practical areas. The economic strength and quality of SME, which have been the important part of Chinese national economics, has improved greatly after more than twenty years old history of development. But because of the faster technology innovation, more-frequently-changed customer demand and swifter international industry movement, Chinese SME cluster, among which most is within traditional area is facing more and more difficulties. How to promote SME cluster keeping on a healthy development, have already become the topic that people pay attention to extensively.The data warehouse technology is an emerging technology in information technology domain The data warehouse is one face the subject, the integration, cannot be renewed, the data acquisition which changes unceasingly along with the time, it uses in supporting the enterprise or organization's decision analysis processing. This article has introduced the data warehouse technology and the neural network technology to the small and medium-sized enterprise industry colony's research.This article introduced in detail the data warehouse technology's correlation theories as well as data warehouse's performance history, through obtains to the industrial colony correlation theories' analysis can affect 8 multiple coefficients of correlation which the small and medium-sized enterprise industry colony develops, and establishes the BP neural network model and the RBF neural network model separately using the MATLAB neural network toolbox, realized finally has carried on the predictive parsing to the small and medium-sized enterprise industry colony economic growth situation, and has carried on the contrastive analysis to the result. |
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