Bankruptcy prediction through soft computing based deep learning technique. (2017)
- Record Type:
- Book
- Title:
- Bankruptcy prediction through soft computing based deep learning technique. (2017)
- Main Title:
- Bankruptcy prediction through soft computing based deep learning technique
- Further Information:
- Note: Arindam Chaudhuri, Soumya K Ghosh.
- Authors:
- Chaudhuri, Arindam
Ghosh, Soumya K - Contents:
- 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.
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource (xvii, 102 pages), illustrations
- Subjects:
- 332.7/5
Bankruptcy -- Forecasting -- Data processing
Soft computing
Machine learning
BUSINESS & ECONOMICS -- Finance
Machine learning
Soft computing
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
Electronic books - Languages:
- English
- ISBNs:
- 9789811066832
9811066833 - Related ISBNs:
- 9789811066825
9811066825 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed December 7, 2017). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.406425
- Ingest File:
- 02_476.xml