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As a new first-tier city of core force in the central region, Wuhan plays a vital role in the development of the mid-regional economy of China, which arises our rich interest about the powerful factors for rapid economic improvement. In this paper, we select 12 factors of financial revenue from 2002 to 2018, and try to find out the significant elements through the Adaptive-Lasso algorithm, then predict the future financial revenue by combining with the grey and neural network model. Real example shows the model is efficient to provide a feasible way to predict the financial market in the future.

Modeling on Financial Revenue via Data Mining