Kurt M. Fanning

Learn More
This paper uses Artificial Neural Networks to develop a model for detecting management fraud. Although similar to the more widely investigated area of bankruptcy prediction, research has been minimal. To increase the body of knowledge on this subject, we offer an in-depth examination of important publicly available predictors of fraudulent financial(More)
This paper examines the efficiency of a generalized adaptive neural network algorithm (GANNA) processor in comparison to earlier model based methods, a back propagation artificial neural network, and logistic regression approaches to data classification. The research uses the binary classification problem of discriminating between failing and non-failing(More)
  • 1