期刊名称：Faculty of Computer Science and Information Technology
出版年度：2008
卷号：0
期号：0
语种：English
出版社：Faculty of Computer Science and Information Technology
摘要：This research is aimed to mold anartificial-backpropagation-networkclassification model to predict bank’sbankruptcy.The objects in this research areall national private banks in Indonesiawhich are listed on Indonesia BankingDirectory Book year 2001/2002 –2002/2003.Data used are financial reports based onbanks’ calculated ratio year 2001 – 2003.In this research, classification done byusing artificial-backpropagation-networkclassification model with WaikatoEnvironment for Knowledge Analysis(WEKA) 3.5.7 software . The banks’bankruptcy status plays a role as an output.In contrary, banks’ finance ratio which areresolvability ratio, rent ability ratio, andliquidity ratio which consists of 36 datastated as an input .
