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Design and implementation of financial prewarning model based on data-mining
基于数据挖掘的财务预警模型设计与实现

Keywords: financial prewarning,decision-tree,B-P model,artificial neural network,data mining
财务预警
,决策树,B-P模型,人工神经网络,数据挖掘

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Abstract:

Since the ID3 algorism has obvious advantage on attribute screening, the algorism so as to get a simplified financial index system was modified in this paper. Then, as artificial neural network is better in constructing financial prewarning model than other linear and regression models, a new financial prewarning model based on B-P model was constructed. At last, the ability to prewarn the financial risk between the new financial prewarning model and the classic Z-score model were compared in terms of first error ratio and second error ratio. The prewarning ability of the new model has been proved.

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