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Computational Intelligence Paradigms in Economic and Financial Decision Making
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 i...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Edición: | 1st ed. 2016. |
| Colección: | Intelligent Systems Reference Library,
99 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-319-21440-5 | ||
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| 005 | 20220114182207.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 151014s2016 sz | s |||| 0|eng d | ||
| 020 | |a 9783319214405 |9 978-3-319-21440-5 | ||
| 024 | 7 | |a 10.1007/978-3-319-21440-5 |2 doi | |
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| 100 | 1 | |a Resta, Marina. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Computational Intelligence Paradigms in Economic and Financial Decision Making |h [electronic resource] / |c by Marina Resta. |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2016. | |
| 300 | |a XX, 172 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Intelligent Systems Reference Library, |x 1868-4408 ; |v 99 | |
| 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. | ||
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Operations research. | |
| 650 | 1 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Operations Research and Decision Theory. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319214399 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319214412 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319365251 |
| 830 | 0 | |a Intelligent Systems Reference Library, |x 1868-4408 ; |v 99 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-21440-5 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||