Verification of the Credit Granting Decision by Selected Methods

• Autorzy: Witkowska D. , Kamiński W.
• Języki publikacji: EN

Abstrakty

EN

The aim of the paper is to present the results of application artificial neural networks to firm classification and to verification the credit granting decision made by the bank experts. The experiments are provided on the basis of data regarding 115 small enterprises that applied for a credit in two regional banks in Poland. The accuracy of classification is evaluated in terms of classification errors. To evaluate the efficiency of artificial neural networks we compare the ANN results to the ones that were obtained applying linear discriminant analysis and k-means method.

Słowa kluczowe

EN

credit granting; classification; artificial neural networks; linear discriminant analysis; k-means method

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2005
• Tom: Vol. 13, nr 1
• Strony: 17--34
• Opis fizyczny: Bibliogr. 18 poz.

Twórcy

autor

Witkowska D.

• Warsaw Agricultural University, Department of Econometrics and Informatics, ul. Nowoursynowska 166, 02-787 Warszawa, Poland

autor

Kamiński W.

• Technical University of Lodz, Faculty of Process and Environmental Engineering, Wólczańska 215, 90-924 Lodz, Poland

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