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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Bio-Inspired Credit Risk Analysis: Computational Intelligence with Support Vector Machines
Language: English
Published by Springer 03.06.2008., 2008
ISBN 10: 3540778020 ISBN 13: 9783540778028
Seller: avelibro OHG, Dinkelscherben, Germany
Association Member: BOEV
Seller rating 5 out of 5 stars
8° Gebundene Ausgabe. Condition: Sehr gut. Auflage: 2008. 260 Seiten Ausgetragenes Bibliotheksexemplar, top erhalten B05-03-05B Sprache: Englisch Gewicht in Gramm: 536.
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Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 262.
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Condition: New. pp. 264.
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Foreign-Exchange-Rate Forecasting with Artificial Neural Networks (International Series in Operations Research & Management Science, 107)
Book 84 of 323: International Series in Operations Research & Management ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 127.60
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Foreign-Exchange-Rate Forecasting with Artificial Neural Networks (International Series in Operations Research & Management Science, 107)
Book 84 of 323: International Series in Operations Research & Management ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 127.60
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Taschenbuch. Condition: Neu. Bio-Inspired Credit Risk Analysis | Computational Intelligence with Support Vector Machines | Lean Yu (u. a.) | Taschenbuch | xvi | Englisch | 2010 | Springer | EAN 9783642096556 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hardcover. Condition: Brand New. 1st edition. 313 pages. 9.50x6.50x1.00 inches. In Stock.
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Bio-Inspired Credit Risk Analysis : Computational Intelligence with Support Vector Machines
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642096557 ISBN 13: 9783642096556
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.
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Bio-Inspired Credit Risk Analysis : Computational Intelligence with Support Vector Machines
Language: English
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 3540778020 ISBN 13: 9783540778028
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.
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Foreign Exchange Rate Forecasting With Artificial Neural Networks
Language: English
Published by Springer, 2007
Hardcover. Condition: New. ISBN:9780387717197.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The foreign exchange market is one of the most complex dynamic markets with the characteristics of high volatility, nonlinearity and irregularity. Since the Bretton Woods System collapsed in 1970s, the fluctuations in the foreign exchange market are more volatile than ever. Furthermore, some important factors, such as economic growth, trade development, interest rates and inflation rates, have significant impacts on the exchange rate fluctuation. Meantime, these characteristics also make it extremely difficult to predict foreign exchange rates. Therefore, exchange rates forecasting has become a very important and challenge research issue for both academic and ind- trial communities. In this monograph, the authors try to apply artificial neural networks (ANNs) to exchange rates forecasting. Selection of the ANN approach for - change rates forecasting is because of ANNs' unique features and powerful pattern recognition capability. Unlike most of the traditional model-based forecasting techniques, ANNs are a class of data-driven, self-adaptive, and nonlinear methods that do not require specific assumptions on the und- lying data generating process. These features are particularly appealing for practical forecasting situations where data are abundant or easily available, even though the theoretical model or the underlying relationship is - known. Furthermore, ANNs have been successfully applied to a wide range of forecasting problems in almost all areas of business, industry and engineering. In addition, ANNs have been proved to be a universal fu- tional approximator that can capture any type of complex relationships.
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Hardcover. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 340 | Sprache: Englisch | Produktart: Bücher | The foreign exchange market is one of the most complex dynamic markets with the characteristics of high volatility, nonlinearity and irregularity. Since the Bretton Woods System collapsed in 1970s, the fluctuations in the foreign exchange market are more volatile than ever. Furthermore, some important factors, such as economic growth, trade development, interest rates and inflation rates, have significant impacts on the exchange rate fluctuation. Meantime, these characteristics also make it extremely difficult to predict foreign exchange rates. Therefore, exchange rates forecasting has become a very important and challenge research issue for both academic and ind- trial communities. In this monograph, the authors try to apply artificial neural networks (ANNs) to exchange rates forecasting. Selection of the ANN approach for - change rates forecasting is because of ANNsż unique features and powerful pattern recognition capability. Unlike most of the traditional model-based forecasting techniques, ANNs are a class of data-driven, self-adaptive, and nonlinear methods that do not require specific assumptions on the und- lying data generating process. These features are particularly appealing for practical forecasting situations where data are abundant or easily available, even though the theoretical model or the underlying relationship is - known. Furthermore, ANNs have been successfully applied to a wide range of forecasting problems in almost all areas of business, industry and engineering. In addition, ANNs have been proved to be a universal fu- tional approximator that can capture any type of complex relationships.
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Foreign-Exchange-Rate Forecasting with Artificial Neural Networks
Book 84 of 323: International Series in Operations Research & Management ScienceLanguage: English
Published by Springer US, Springer US, 2010
ISBN 10: 1441944044 ISBN 13: 9781441944047
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The foreign exchange market is one of the most complex dynamic markets with the characteristics of high volatility, nonlinearity and irregularity. Since the Bretton Woods System collapsed in 1970s, the fluctuations in the foreign exchange market are more volatile than ever. Furthermore, some important factors, such as economic growth, trade development, interest rates and inflation rates, have significant impacts on the exchange rate fluctuation. Meantime, these characteristics also make it extremely difficult to predict foreign exchange rates. Therefore, exchange rates forecasting has become a very important and challenge research issue for both academic and ind- trial communities. In this monograph, the authors try to apply artificial neural networks (ANNs) to exchange rates forecasting. Selection of the ANN approach for - change rates forecasting is because of ANNs' unique features and powerful pattern recognition capability. Unlike most of the traditional model-based forecasting techniques, ANNs are a class of data-driven, self-adaptive, and nonlinear methods that do not require specific assumptions on the und- lying data generating process. These features are particularly appealing for practical forecasting situations where data are abundant or easily available, even though the theoretical model or the underlying relationship is - known. Furthermore, ANNs have been successfully applied to a wide range of forecasting problems in almost all areas of business, industry and engineering. In addition, ANNs have been proved to be a universal fu- tional approximator that can capture any type of complex relationships.
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Paperback. Condition: Brand New. 316 pages. 9.00x6.00x0.77 inches. In Stock.
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