The authors of this monograph adapt two state-of-the-art artificial intelligence techniques to the purpose of bankruptcy prediction and compare the methodologies’ predictive abilities.
The authors of this monograph adapt two state-of-the-art artificial intelligence techniques to the purpose of bankruptcy prediction and compare the methodologies’ predictive abilities. The techniques are artificial neural networks and recursive partitioning algorithms. The monograph provides a thorough, nontechnical explanation of the techniques as predictive tools and explores applications of the methodologies to economic problem solving.