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• W2393087377 abstract "Research the accurate prediction of regional economic development potential. The paper proposed a decision domain forecasting model of regional economic development potential. The support vector machine( SVM) was used to solve nonlinear characteristic of the regional economic impact indicators,and the original economic forecasting data were accessed. The decision domain method was introducted to build training data sets,and pruning process was used for the decision domain. The decision domain was converted into standard data. According to the standard data,new regional economic impact indicators were classified. Finally,the complete regional economic forecasts were implemented. Experimental results show that the model has higher accuracy of regional economy prediction,and can quickly and accurately predict the potential trend of regional economic development." @default.
• W2393087377 created "2016-06-24" @default.
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• W2393087377 date "2013-01-01" @default.
• W2393087377 modified "2023-09-28" @default.
• W2393087377 title "Regional Economic Development Potential Prediction Model Simulation Research" @default.
• W2393087377 hasPublicationYear "2013" @default.
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