Computational Intelligence Paradigms in Economic and Financial Decision Making

Business & Finance, Management & Leadership, Operations Research, Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Computational Intelligence Paradigms in Economic and Financial Decision Making by Marina Resta, Springer International Publishing
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Author: Marina Resta ISBN: 9783319214405
Publisher: Springer International Publishing Publication: October 14, 2015
Imprint: Springer Language: English
Author: Marina Resta
ISBN: 9783319214405
Publisher: Springer International Publishing
Publication: October 14, 2015
Imprint: Springer
Language: English

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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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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