Zaychenko yuriy (40 risultati)

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Taschenbuch. Condizione: Neu. Fuzzy Portfolio Optimization with Application of Forecasting Methods | Yuriy Zaychenko | Taschenbuch | 64 S. | Englisch | 2015 | Scholars' Press | EAN 9783639667295 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The problem of constructing an optimal portfolio of securities under uncertainty is considered. The main objective of portfolio investment is to improve the investment environment, giving securities such investment characteristics that are only possible in their combination. The global market crisis of recent years has shown that the existing theory of investment portfolios optimization exhausted and revision of the basic theory of portfolio management is needed. Therefore in this work the novel theory of investment portfolio optimization under uncertainty is presented based on fuzzy set theory and efficient forecasting methods. The direct and dual problem of fuzzy portfolio optimization are considered. In the direct problem we determine structure of a portfolio which will provide the maximum profitableness at the given risk level. In dual problem we define structure of a portfolio which provides the minimum risk level at the set level of profitableness. The input data for the portfolio optimization are predicted by the Fuzzy Group Method of Data Handling (FGMDH).The experimental investigations of the suggested theory and comparison with classical methods are performed. 64 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The problem of constructing an optimal portfolio of securities under uncertainty is considered. The main objective of portfolio investment is to improve the investment environment, giving securities such investment characteristics that are only possible in their combination. The global market crisis of recent years has shown that the existing theory of investment portfolios optimization exhausted and revision of the basic theory of portfolio management is needed. Therefore in this work the novel theory of investment portfolio optimization under uncertainty is presented based on fuzzy set theory and efficient forecasting methods. The direct and dual problem of fuzzy portfolio optimization are considered. In the direct problem we determine structure of a portfolio which will provide the maximum profitableness at the given risk level. In dual problem we define structure of a portfolio which provides the minimum risk level at the set level of profitableness. The input data for the portfolio optimization are predicted by the Fuzzy Group Method of Data Handling (FGMDH).The experimental investigations of the suggested theory and comparison with classical methods are performed.…

Condizione: New. Print on Demand pp. 64.

Condizione: New. PRINT ON DEMAND pp. 64.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zaychenko YuriyPhD in 1969. Dr. of science in 1981. Work experience: 1968- assistant prof. in KPI, 1973- associate prof., since 1981 Professor in IASA, KPI. Main scientific fields: Decision- making under uncertainty, fuzzy neural n.…

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and tools is used, based on the self-organization of computational processes, the use of crisp and fuzzy cluster analysis methods, hybrid neural-fuzzy networks, and others. The book solves various practical problems. In particular, for the tasks of 3D image recognition and automatic speech recognition large-scale neural networks with applications for Deep Learning systems were used. Application of hybrid neuro-fuzzy networks for analyzing stock markets was presented. The analysis of big historical, economic and physical data revealed the hidden Fibonacci pattern about the course of systemic world conflicts and their connection with the Kondratieff big economic cycles and the Schwabe-Wolf solar activity cycles. The book is useful for system analysts and practitioners working with complex systems in various spheres of human activity. 304 pp. Englisch.…

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Applies methods of modern mathematics and system analytics to the analysis of big dataExtracts&nbsphidden regularities from these dataPresents conventional tools of data mining and novel efficient methods and tools especially developed for this g.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph is dedicated to the systematic presentation of main trends, technologies and methods of computational intelligence (CI). The book pays big attention to novel important CI technology- fuzzy logic (FL) systems and fuzzy neural networks (FNN). Different FNN including new class of FNN- cascade neo-fuzzy neural networks are considered and their training algorithms are described and analyzed. The applications of FNN to the forecast in macroeconomics and at stock markets are examined. The book presents the problem of portfolio optimization under uncertainty, the novel theory of fuzzy portfolio optimization free of drawbacks of classical model of Markovitz as well as an application for portfolios optimization at Ukrainian, Russian and American stock exchanges. The book also presents the problem of corporations bankruptcy risk forecasting under incomplete and fuzzy information, as well as new methods based on fuzzy sets theory and fuzzy neural networks and results of their application for bankruptcy risk forecasting are presented and compared with Altman method. This monograph also focuses on an inductive modeling method of self-organization - the so-called Group Method of Data Handling (GMDH) which enables to construct the structure of forecasting models almost automatically. The results of experimental investigations of GMDH for forecasting at stock exchanges are presented. The final chapters are devoted to theory and applications of evolutionary modeling (EM) and genetic algorithms.The distinguishing feature of this monograph is a great number of practical examples of CI technologies and methods application for solution of real problems in technology, economy and financial sphere, in particular forecasting, classification, pattern recognition, portfolio optimization, bankruptcy risk prediction under uncertainty which were developed by authors and published in this book for the first time. All CI methods and algorithms are presented from the general system approach and analysis of their properties, advantages and drawbacks that enables practitioners to choose the most adequate method for their own problems solution. 396 pp. Englisch. …

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph is dedicated to the systematic presentation of main trends, technologies and methods of computational intelligence (CI). The book pays big attention to novel important CI technology- fuzzy logic (FL) systems and fuzzy neural networks (FNN). Different FNN including new class of FNN- cascade neo-fuzzy neural networks are considered and their training algorithms are described and analyzed. The applications of FNN to the forecast in macroeconomics and at stock markets are examined. The book presents the problem of portfolio optimization under uncertainty, the novel theory of fuzzy portfolio optimization free of drawbacks of classical model of Markovitz as well as an application for portfolios optimization at Ukrainian, Russian and American stock exchanges. The book also presents the problem of corporations bankruptcy risk forecasting under incomplete and fuzzy information, as well as new methods based on fuzzy sets theory and fuzzy neural networks and results of their application for bankruptcy risk forecasting are presented and compared with Altman method. This monograph also focuses on an inductive modeling method of self-organization - the so-called Group Method of Data Handling (GMDH) which enables to construct the structure of forecasting models almost automatically. The results of experimental investigations of GMDH for forecasting at stock exchanges are presented. The final chapters are devoted to theory and applications of evolutionary modeling (EM) and genetic algorithms.The distinguishing feature of this monograph is a great number of practical examples of CI technologies and methods application for solution of real problems in technology, economy and financial sphere, in particular forecasting, classification, pattern recognition, portfolio optimization, bankruptcy risk prediction under uncertainty which were developed by authors and published in this book for the first time. All CI methods and algorithms are presented from the general system approach and analysis of their properties, advantages and drawbacks that enables practitioners to choose the most adequate method for their own problems solution. 396 pp. Englisch.…