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The main goal in the credit scoring process is forecasting every customer's adequacy in accomplishment of their obligations precisely as much as possible. Although this technique is identical with regular binary classification tasks but it has a few crucial differences. Whereas, based on financial credit rules, a customer is considered based on a degree of goodness or badness, one cannot allocate...
In order to make CRM more effectively, we need to classify the customer and to realize the personalized service, so we can promote the customer satisfaction and the loyalty, analyze and appraisal the credit is an important step. In the traditional method, the customer credit evaluation precision is insufficient, which causes the enterprise into a dilemma situation. In view of this problem, this article...
The article introduces the method of probabilistic neural network (PNN) and its classifying principle. It constructs a PNN structure for identified three patterns samples. The PNN structure is used to separate 106 listed companies of our country in 2000 into three groups. The simulations show that, the classification accuracy rate of PNN to the training samples is very high which is up to 100%, but...
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