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Based on analyzing the current way of evaluating the credit risk, BP neural network (BPNN) is used in the paper. BPNN is powerful for the problem with non-linear and high dimension. A multi-class BPNN model is constructed to measure the credit sales risk. In this model, dominant factors affecting the credit sales risk are the input vectors and the credit risk is divided into five grades. Through a...
Aiming at the shortages of the existing data-mining model for classification of customer's credit sale risk, a new classification model based on rough sets and support vector machine presents is put forward in this paper. First, the theory of rough set is applied to pick up and reduce the index attributes. Then, the training samples are sent to the support vector machine to train and learn. After...
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