In recent two decades, artificial neural networks have been extensively used in many
business applications. Despite the growing number of research papers, only few studies …

This paper is a critical review of the variable selection methods used to build empirical
bankruptcy prediction models. Recent decades have seen many papers on modeling …

One of the biggest problems of SMEs is their tendencies to financial distress because of
insufficient finance background. In this study, an early warning system (EWS) model based …

Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of
this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In …

We evaluate the prediction accuracy of models designed using different classification
methods depending on the technique used to select variables, and we study the relationship …

This paper focuses on the use of neural networks (NNs) as an enabler of the new business
risk auditing framework and provides insight into future research opportunities. In general …

The purpose of this paper is to present a comprehensive bibliography of neural network
application research in business during the period of 1994–1998. Our extensive literature …

A good model of business credit evaluation is an important tool for risk management.
Although the dynamic imbalanced data flow is more consistent with the form of collected …

This study examines the potential of a neural network (NN) model, whose inputs and
structure are automatically selected by means of a genetic algorithm (GA), for the prediction …

While research has been conducted in machine learning algorithms and in privacy
preserving in data mining (PPDM), a gap in the literature exists which combines the …