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In order to avoid the risks associated with blind investment, especially in the current financial crisis, the demand forecast for the market has become very necessary. Data mining is the use of a variety of analysis tools found in the mass data of certain models and the relationship between the process data, it has become in all walks of life to solve the problem by means of an integral, the general...
Corporate governance is a significant factor that would influence business operation and financial risk, and therefore an empirical study about the early forecasting model and its effect combining the corporate governance indexes is very necessary. The paper select some quantitative variables from ownership structure, corporate governance and the major transaction events to examine the relationship...
In financial forecasting system, because there exists a number of factors to effect economy developing, it is difficult to do effective forecasting by using traditional methods such as time series approach, regression analysis. In this paper, a nonlinear model based on RBF neural network is presented. There are some ameliorated measures in learning algorithm of RBF neural network. The number and the...
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