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Artificial intelligence trending system

机译:人工智能趋势系统

摘要

A data processing system program to develop, train, and implement a neural network for identifying customers who represent a bad debt risk is disclosed. A feature vector is applied to a neural network to generate outputs that approximate the relative likelihood that customers who are the subjects of the records used to generate the feature vector will be a bad debt risk. Statistical values relating categorical attributes of the customers to the likelihood of their becoming a bad debt risk are substituted for the categorical attributes, and the attributes are normalized before the feature vector is applied to the network. In one embodiment the customers are customers of a long distance service provider.
机译:公开了一种数据处理系统程序,用于开发,训练和实现用于识别代表不良债务风险的客户的神经网络。将特征向量应用于神经网络以生成输出,该输出近似于作为用于生成特征向量的记录对象的客户将面临不良债务风险的相对可能性。将客户的分类属性与他们成为坏账风险的可能性相关的统计值替换为分类属性,并在将特征向量应用于网络之前对属性进行归一化。在一个实施例中,顾客是长途服务提供商的顾客。

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