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Credit Risk of Bank Customers can be Predicted from Customer's Attribute using Neural Network
2017
International Journal of Computer Applications
The aim of this paper is to present a model based on Multilayer perceptron neural networks to recognize bad or good credit customers. Credit risk is one of the major problems in banking sector. Banks are faced with credit Risk while doing their tasks. Credit risk is the probability of non-repayment of bank loan granted to lenders. Decreasing Credit Risk, banks may perform better duties and responsibilities successfully for the economic growth of the country. This study will help for a banker to
doi:10.5120/ijca2017913170
fatcat:tamqyb4ifvdqjo4wqtgcpysr4u