Resta, Marina.
Computational Intelligence Paradigms in Economic and Financial Decision Making [electronic resource] / by Marina Resta. - XX, 172 p. online resource. - Intelligent Systems Reference Library, 99 1868-4394 ; . - Intelligent Systems Reference Library, 99 .
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.
9783319214405
10.1007/978-3-319-21440-5 doi
Engineering.
Operations research.
Decision making.
Artificial intelligence.
Computational intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Operation Research/Decision Theory.
Q342
006.3
Computational Intelligence Paradigms in Economic and Financial Decision Making [electronic resource] / by Marina Resta. - XX, 172 p. online resource. - Intelligent Systems Reference Library, 99 1868-4394 ; . - Intelligent Systems Reference Library, 99 .
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.
9783319214405
10.1007/978-3-319-21440-5 doi
Engineering.
Operations research.
Decision making.
Artificial intelligence.
Computational intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Operation Research/Decision Theory.
Q342
006.3