دانلود مقاله ISI انگلیسی شماره 48610
عنوان فارسی مقاله

اعتبارسنجی با استفاده از روش تفکیک عصبی ترکیبی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
48610 2002 10 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Credit scoring using the hybrid neural discriminant technique
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 23, Issue 3, 1 October 2002, Pages 245–254

کلمات کلیدی
امتیازدهی اعتباری - تجزیه و تحلیل مشخص - شبکه های عصبی - اساس مدل
پیش نمایش مقاله
پیش نمایش مقاله اعتبارسنجی با استفاده از روش تفکیک عصبی ترکیبی

چکیده انگلیسی

Credit scoring has become a very important task as the credit industry has been experiencing double-digit growth rate during the past few decades. The artificial neural network is becoming a very popular alternative in credit scoring models due to its associated memory characteristic and generalization capability. However, the decision of network's topology, importance of potential input variables and the long training process has often long been criticized and hence limited its application in handling credit scoring problems. The objective of the proposed study is to explore the performance of credit scoring by integrating the backpropagation neural networks with traditional discriminant analysis approach. To demonstrate the inclusion of the credit scoring result from discriminant analysis would simplify the network structure and improve the credit scoring accuracy of the designed neural network model, credit scoring tasks are performed on one bank credit card data set. As the results reveal, the proposed hybrid approach converges much faster than the conventional neural networks model. Moreover, the credit scoring accuracies increase in terms of the proposed methodology and outperform traditional discriminant analysis and logistic regression approaches.

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