Title :
Improving the RBF neural network under Stein loss and its application to the credit score
Author_Institution :
Coll. of Sci., Changchun Univ., Changchun, China
Abstract :
Aiming at the problem in the application of the RBF neural network to the credit score, this paper proposes a RBF neural network classification under the Stein loss function, and produces the test results on the Germany credit score data sets among the UCI. The results illuminate that the method proposed in this paper may effectively solve the problem in the application of the RBF neural network to the credit score.
Keywords :
finance; radial basis function networks; Germany credit score data sets; RBF neural network classification; Stein loss function; Benchmark testing; Indexes; Credit score; RBF neural network; Stein loss function;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579523