Computational Intelligence Paradigms in Economic and Financial Decision Making: Intelligent Systems Reference Library, cartea 99
Autor Marina Restaen Limba Engleză Hardback – 23 oct 2015
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Specificații
ISBN-13: 9783319214399
ISBN-10: 331921439X
Pagini: 250
Ilustrații: XX, 172 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
ISBN-10: 331921439X
Pagini: 250
Ilustrații: XX, 172 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
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