This study proposes a knowledge discovery method that uses multilayer perceptron (MLP)
based neural rule extraction (NRE) approach for credit risk analysis (CRA) of real-life small …

In this paper, discriminant analysis is used as a means of analysing the effect of 30 variables
upon the dependent variable Student success at the Faculty of Organization and Informatics …

Credits in banks have risk of being defaulted. The main purpose of credit risk estimation in
banks is the determination of company's ability to fulfil its financial obligations in future. It is …

This study presents a neural approach which cascades a neural classifier which is multilayer
perceptron (MLP) and a neural rule extractor (NRE) for real-life Small and Medium …

Abstract [eng] Purpose of the research–to elaborate a model of assessing the effectiveness
of internal control in extractive industry enterprises according to a theoretical analysis of …

This paper presents the results of research conducted among postgraduate students to
examine their criteria for bank selection. In the process of model development various …

Factor Analysis is the process of finding a suitable representation of the data in terms of
lesser number of variables. There are a number of application areas where factor analysis is …

Over the last 20 years, new technology has improved the methods of detection of fetal
abnormalities, including Down syndrome. While there are ways to diagnose Down …

Credit risk analysis is a challenging problem in financial analysis domain. It aims toestimate
the risk occurred when a customer is granted. The risk estimation depends on bothcustomer …

A new listed firm's profitability evaluation model based on rough set theory and artificial
neural network is put forward in this paper. The main idea of this method is that some …