Bankruptcy Prediction through Soft Computing based Deep Learning Technique

• Κύριοι συγγραφείς: Chaudhuri, Arindam (Συγγραφέας), Ghosh, Soumya K. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Θέματα: Computer science.; Banks and banking.; User interfaces (Computer systems).; Artificial intelligence.; Computer simulation.; Management information systems.; Statistics.; Computer Science.; User Interfaces and Human Computer Interaction.; Artificial Intelligence (incl. Robotics).; Simulation and Modeling.; Management of Computing and Information Systems.; Banking.; Statistics for Business/Economics/Mathematical Finance/Insurance.

This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical, market-based and machine-intelligence prediction models. The HDA are formed through fuzzy rough ten...

Πίνακας περιεχομένων:

• Introduction
• Need of this Research
• Literature Review
• Bankruptcy Prediction Methodology
• Need for Risk Classification
• Experimental Framework: Bankruptcy Prediction using Soft Computing based Deep Learning Technique.- Datasets Used
• Experimental Results
• Conclusion .