Computational Intelligence Paradigms in Economic and Financial Decision Making: Intelligent Systems Reference Library, cartea 99
Autor Marina Restaen Limba Engleză Paperback – 23 aug 2016
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Paperback (1) | 627.42 lei 6-8 săpt. | |
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Hardback (1) | 633.55 lei 6-8 săpt. | |
Springer International Publishing – 23 oct 2015 | 633.55 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319365251
ISBN-10: 3319365258
Pagini: 172
Ilustrații: XX, 172 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.28 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
ISBN-10: 3319365258
Pagini: 172
Ilustrații: XX, 172 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.28 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
Cuprins
Yet another introduction to Self–Organizing Maps.- Networks analysis and beyond.- Elastic Maps.- SOM variants for the simulation of market price modeling.- Elastic Maps to define the risk profile of financial investments.- Hubs and communities of financial assets with enhanced Self Organizing Maps.- Financial landscapes of health care providers.- Using SOM for mortality projection.
Textul de pe ultima copertă
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.
Caracteristici
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