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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Betriebssysteme & Benutzeroberflächen Bankruptcy Prediction through Soft Computing based Deep Learning Technique
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Bankruptcy Prediction through Soft Computing based Deep Learning Technique
Soumya K Ghosh (Taschenbuch, Englisch)
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Beschreibung
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 tensor deep staking networks (FRTDSN) with structured, hierarchical rough Bayesian (HRB) models. FRTDSN… is formalized through TDSN and fuzzy rough sets, and HRB is formed by incorporating probabilistic rough sets in structured hierarchical Bayesian model. Then FRTDSN is integrated with HRB to form the compound FRTDSN-HRB model. HRB enhances the prediction accuracy of FRTDSN-HRB model. The experimental datasets are adopted from Korean construction companies and American and European non-financial companies, and the research presented focuses on the impact of choice of cut-off points, sampling procedures and business cycle on the accuracy of bankruptcy prediction models. The bookalso highlights the fact that misclassification can result in erroneous predictions leading to prohibitive costs to investors and the economy, and shows that choice of cut-off point and sampling procedures affect rankings of various models. It also suggests that empirical cut-off points estimated from training samples result in the lowest misclassification costs for all the models. The book confirms that FRTDSN-HRB achieves superior performance compared to other statistical and soft-computing models. The experimental results are given in terms of several important statistical parameters revolving different business cycles and sub-cycles for the datasets considered and are of immense benefit to researchers working in this area. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
13.12.2017
Sprache
Englisch
EAN
9789811066825
Herausgeber
Springer Singapore
Sonderedition
Nein
Autor
Soumya K Ghosh
Seitenanzahl
102
Auflage
1st edition 2017
Einbandart
Taschenbuch
Einbandart Details
Trade Paperback (US)
Schlagwörter
Bankruptcy Prediction, Deep Learning, Soft Computing, Mathematical Finance, Hierarchical Deep Architectures (HAD), Fuzzy Rough Tensor Deep Stacking Networks (FRTDSN), Hierarchical Rough Bayesian (HRB), Fuzzy Rough Sets, FRTDSN-HRB, Risk Classification, banking
Thema-Inhalt
UYZ - Mensch-Computer-Interaktion
UYQ - Künstliche Intelligenz
UYM - Computermodellierung und -simulation
KJQ - Wirtschaftsmathematik und -informatik, IT-Management
KFF - Finanzenwesen und Finanzindustrie
PBT - Wahrscheinlichkeitsrechnung und Statistik
K - Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer Nature B.V., ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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