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Computational Intelligence Paradigms in Economic and Financial Decision Making: 99 (Intelligent Systems Reference Library, 99) - Tapa dura
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The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background.
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De la contraportada
The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background.
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Computational Intelligence Paradigms in Economic and Financial Decision Making (eng)
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Computational Intelligence Paradigms in Economic and Financial Decision Making (Intelligent Systems Reference Library, 99, Band 175)
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Computational Intelligence Paradigms in Economic and Financial Decision Making
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Computational Intelligence Paradigms in Economic and Financial Decision Making
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ISBN 10: 331921439X
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background. 192 pp. Englisch. Nº de ref. del artículo: 9783319214399
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Computational Intelligence Paradigms in Economic and Financial Decision Making
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Computational Intelligence Paradigms in Economic and Financial Decision Making
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Computational Intelligence Paradigms in Economic and Financial Decision Making
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background. Nº de ref. del artículo: 9783319214399
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Computational Intelligence Paradigms in Economic and Financial Decision Making
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Springer, Springer Okt 2015, 2015
ISBN 10: 331921439X
ISBN 13: 9783319214399
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch. Nº de ref. del artículo: 9783319214399
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Computational Intelligence Paradigms in Economic and Financial Decision Making (Intelligent Systems Reference Library)
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