Overview
- Provides an overview on how to use soft computing methods as economic and financial decision making tools
- Focuses on statistical machine learning, agent-based simulation and social networks analysis techniques and connected applications
- Each chapter includes both explanatory and practical applications with references
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 99)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
-
Front Matter
-
Theoretical Framework
-
Front Matter
-
-
Applications
-
Front Matter
-
-
Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence Paradigms in Economic and Financial Decision Making
Authors: Marina Resta
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-21440-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-21439-9Published: 23 October 2015
Softcover ISBN: 978-3-319-36525-1Published: 23 August 2016
eBook ISBN: 978-3-319-21440-5Published: 14 October 2015
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XX, 172
Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory