决策树神经网络在客户信用分类中的应用
首发时间:2009-02-09
摘要:本文提出了基于决策树规则生成的神经网络构造方法 ,该方法利用决策树的规则生成能力产生规模很小的规则集,借助于前馈网络与决策树在功能上的等价性,对神经网络进行初始化。利用决策树构造神经网络的方法对客户信用分类结果进行预测分析,弥补了单独使用决策树或神经网络方法时各自的不足。
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Neural network decision tree classification in customer credit application
Abstract:In this paper, the rules-based decision tree generated by neural network construction method, the method of decision tree rules for the use of the ability to generate small rule set, through the use of feedforward networks and decision trees in the functional equivalence of neural network initialized. Decision tree structure using neural network method of customer credit classification to predict the results of analysis, to make up for the use of a separate decision tree or neural network method for less than their respective
Keywords: Classification of credit Credit cards Neural Networks Decision trees
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