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2 Journal of Applied Computer Science

2 2005

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Verification of the Credit Granting Decision by Selected Methods

Witkowska D., Kamiński W.

Journal of Applied Computer Science

2005

Vol. 13, nr 1

17-34

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.

Flow Control in a Single Connection ATM Network with a Limited Source Capability

Karbowańczyk M., Bartoszewicz A.

Journal of Applied Computer Science

2005

Vol. 13, nr 1

35-46

In this paper the problem of flow control in a single connection, fast communication network is considered. A new discrete time algorithm governing the source behaviour is proposed. The algorithm ensures full link utilisation and no cell loss in the controlled virtual circuit. Consequently, the need of cell retransmission is eliminated. These favourable properties are obtained not only when the ideal source is considered, but also in the case when at a particular period of time the source cannot send data at the rate determined by the controller.