Bankruptcy prediction is a topic, which affect the economic well being of all countries.
Having an accurate company default prediction model, which can pick up on time the signs …

Recently, artificial intelligence technologies have received considerable attention because
of their practical applications in various fields. The key factor in this prosperity is deep …

Nowadays, many current real financial applications have nonlinear and uncertain behaviors
which change across the time. Therefore, the need to solve highly nonlinear, time variant …

Prediction of corporate failure using past financial data is a well-documented topic. Early
studies of bankruptcy prediction used statistical techniques such as multiple discriminant …

The Internet is emerging as a new marketing channel, so understanding the characteristics
of online customers' needs and expectations is considered a prerequisite for activating the …

Case-based reasoning (CBR) is a methodology for problem solving and decision-making in
complex and changing business environments. Many CBR algorithms are derivatives of the …

Corporate credit rating analysis has drawn a lot of research interests in previous studies,
and recent studies have shown that machine learning techniques achieved better …

This study investigates the effectiveness of a hybrid approach based on the artificial neural
networks (ANNs) for time series properties, such as the adaptive time delay neural networks …

Genetic algorithms, computer programs that simulate natural evolution, are increasingly
applied across many disciplines. They have been used to solve various optimisation …

One of the most important research issues in finance is building effective corporate
bankruptcy prediction models because they are essential for the risk management of …