Titlebook: Computational Intelligence Paradigms in Economic and Financial Decision Making; Marina Resta Book 2016 Springer International Publishing S

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https://doi.org/10.1007/978-1-349-11229-6e overall economic situation of Italian HFs, and we have observed the emergence of very surprising patterns, that, in our opinion, could be of help to policy makers in order to realize a more efficient allocation of financial resources among the existing HFs.

DUST

Hubs and Communities of Financial Assets with Enhanced Self-Organizing Mapsng the SOM. In the specific case, we are going to discuss a variant of SOM where the similarity (and hence the proximity) among inputs and neurons is evaluated by way of Value at Risk, thus originating the VaRSOM that makes SOM more suitable to deal with financial time-series analysis.

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Computational Intelligence Paradigms in Economic and Financial Decision Making

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1868-4394 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..978-3-319-36525-1978-3-319-21440-5Series ISSN 1868-4394 Series E-ISSN 1868-4408

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Elastic Maps to Define the Risk Profile of Financial Investmentsinancial portfolios. In particular, we suggest an allocation scheme which is entirely driven by Elastic Maps, in contrast to the traditional model where investors distribute their money among assets chosen according to the mean and variance of their returns. Our optimization procedure is based on th

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Financial Landscapes of Health Care Providersre in detail, using computational methods we explore the current allocation criterion of financial resources of Italian public Hospital Facilitators (clinics, regional or local community hospitals, medical centers) through different types of networks. Moving from the balance scorecards of each Hospi