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Financial Risk Forecasting Using Neuro-Fuzzy Approach: Forecasting under conditions of uncertainty - Softcover
Synopsis
The dissertation is devoted to the decision of the problems directed to the development of methods, models and algorithms for solving forecasting problems of financial risks under conditions of uncertainty, and for a complex of the problems related with it. These are fuzzy mathematics operations, the solving of linear algebraic equations system with fuzzy numbers (variables) in the neural network logic basis. This allows essentially raising the level of support of decision-making in the conditions of uncertainty and, as consequence from this, control efficiency. As a result of this, the mechanism of fuzzy conclusion in neural network logic basis is studied, namely it was suggested to use a connectional neural network, realizing the technique of fuzzy conclusion particularly, and fuzzy modeling in general. The problem of optimal borrower selection is realized in the program shell of the MATLAB/Fuzzy Sets Toolbox on current data.
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About the Author
Aygun Nusrat Alasgarova is a computer engineer who trained at the Khazar University (Azerbaijan). Her research interests lie in the areas of fuzzy logic, neural networks, forecasting and decision making process of the bank’s investment policy.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2011
- ISBN 10 3845419415
- ISBN 13 9783845419411
- BindingPaperback
- LanguageEnglish
- Number of pages124
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Financial Risk Forecasting Using Neuro-Fuzzy Approach
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LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3845419415
ISBN 13: 9783845419411
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The dissertation is devoted to the decision of the problems directed to the development of methods, models and algorithms for solving forecasting problems of financial risks under conditions of uncertainty, and for a complex of the problems related with it. These are fuzzy mathematics operations, the solving of linear algebraic equations system with fuzzy numbers (variables) in the neural network logic basis. This allows essentially raising the level of support of decision-making in the conditions of uncertainty and, as consequence from this, control efficiency. As a result of this, the mechanism of fuzzy conclusion in neural network logic basis is studied, namely it was suggested to use a connectional neural network, realizing the technique of fuzzy conclusion particularly, and fuzzy modeling in general. The problem of optimal borrower selection is realized in the program shell of the MATLAB/Fuzzy Sets Toolbox on current data. 124 pp. Englisch. Seller Inventory # 9783845419411
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Financial Risk Forecasting Using Neuro-Fuzzy Approach : Forecasting under conditions of uncertainty
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845419415
ISBN 13: 9783845419411
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The dissertation is devoted to the decision of the problems directed to the development of methods, models and algorithms for solving forecasting problems of financial risks under conditions of uncertainty, and for a complex of the problems related with it. These are fuzzy mathematics operations, the solving of linear algebraic equations system with fuzzy numbers (variables) in the neural network logic basis. This allows essentially raising the level of support of decision-making in the conditions of uncertainty and, as consequence from this, control efficiency. As a result of this, the mechanism of fuzzy conclusion in neural network logic basis is studied, namely it was suggested to use a connectional neural network, realizing the technique of fuzzy conclusion particularly, and fuzzy modeling in general. The problem of optimal borrower selection is realized in the program shell of the MATLAB/Fuzzy Sets Toolbox on current data. Seller Inventory # 9783845419411
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Financial Risk Forecasting Using Neuro-Fuzzy Approach
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845419415
ISBN 13: 9783845419411
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alasgarova Aygun NusratAygun Nusrat Alasgarova is a computer engineer who trained at the Khazar University (Azerbaijan). Her research interests lie in the areas of fuzzy logic, neural networks, forecasting and decision making process. Seller Inventory # 5481594
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Financial Risk Forecasting Using Neuro-Fuzzy Approach: Forecasting under conditions of uncertainty
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845419415
ISBN 13: 9783845419411
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