支持向量机在信用卡信用评估的应用

信用卡业务现在是银行很重要的资产业务，构建一个适用的个人信用评估模型十分重要。基于近年来在智能学习系统领域发展起来的新理论．引入小样本学习的通用学习算法——支持向量机（SVM），建立了个人信用评估模型，通过与神经网络模型的比较．证实了该方法用于信用卡个人信用评估的有效性及优越性。

Using Support Vector Machine for the Credit Evaluation

Credit card business is an important asset business in the bank,to construct a suitable personal credit evaluation model is very important.Based on the recent development in the field of＇intelligent system of the new theory,introduced the general learning small sample learning algorithm： support vector machine （SVM） to establish the individual credit evaluation model,through the comparison with the neural network model,This method proves to be used to evaluate the personal credit card superiority and effectively.