【摘要】 结合人工神经网络对噪声数据具有高承受能力,且对未经训练的数据具有分类模拟能力的特点,讨论了在数据挖掘领域中利用BP网络进行数据分类的实现过程,描述并分析了BP算法.然后,针对银行业务中客户信用政策给出了实例分析,用该算法建立了一个分类模型,根据存款金额、贷款次数、及时还贷率等数据信息实现对客户信用等级的分类.更多还原

【Abstract】 Combining the features of the high tolerance of BP network to noisy data as well as the ability to classify the pattern not been trained,this paper discusses how to apply the BP network to realize classification in data mining,describes and analyses the corresponding BP algorithm,and carries out an illustrative analysis to the customer credit in the bank business.In this example,according to the loan,the numbers of loaning and the payment-in-time ratio,a model worked for classification of customer credit-rating is created.更多还原