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Computational intelligence paradigms...

Resta, Marina.

Computational intelligence paradigms in economic and financial decision making[electronic resource] /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	006.3
タイトル / 著者:	Computational intelligence paradigms in economic and financial decision making/ by Marina Resta.
著者:	Resta, Marina.
出版された:	Cham : : Springer International Publishing :, 2016.
記述:	xx, 172 p. : : ill., digital ;; 24 cm.
含まれています:	Springer eBooks
主題:	Computational intelligence.
主題:	Finance - Decision making.
主題:	Engineering.
主題:	Computational Intelligence.
主題:	Artificial Intelligence (incl. Robotics)
主題:	Operation Research/Decision Theory.
国際標準図書番号 (ISBN) :	9783319214405
国際標準図書番号 (ISBN) :	9783319214399
[NT 15000229] null:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-21440-5

Computational intelligence paradigms in economic and financial decision making[electronic resource] /
Resta, Marina.

Computational intelligence paradigms in economic and financial decision making[electronic resource] /by Marina Resta. - Cham :Springer International Publishing :2016. - xx, 172 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.991868-4394 ;. - Intelligent systems reference library ;v.24..

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.

ISBN: 9783319214405

Standard No.: 10.1007/978-3-319-21440-5doiSubjects--Topical Terms:

416528
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational intelligence paradigms in economic and financial decision making[electronic resource] /
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520 $a 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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http://dx.doi.org/10.1007/978-3-319-21440-5

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