Bankruptcy Prediction through Soft Computing based Deep Learning Technique

Highlights the latest research on deep learning integrated with hierarchical Bayesian statistics for bankruptcy prediction.

Presents the mathematical framework of the prediction model in a very lucid manner.

Experiments use real-world datasets and the results support the theoretical hypothesis.

A valuable resource for postgraduate students and researchers in deep learning and mathematical finance.

The proposed prediction model can be applied to any skewed real life dataset.