Neurocomputing Paradigm and Society

0420882 - ÚI 2015 RIV RU rus M - Část monografie knihy
Frolov, A. A. - Húsek, Dušan - Polyakov, P.Y.
Atraktornaja nejronnaja set tipa Hopfilda v kačestve metoda Bulevskogo faktornogo analiza i nekotoryje ego socialnyje primenenija.
[Attractor Neural Network of Hopfield Type as the Method of Boolean Factor Analysis and Some of its Social Use.]
Neurocomputing Paradigm and Society. Moscow: Moscov University Press, 2012 - (Petrunin, Y.), s. 62-102. ISBN 978-5-211-06375-4
Grant CEP: GA ČR GAP202/10/0262; GA ČR GA205/09/1079
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: artificial intelligence * neural networks * neurocomputing paradigma * methodology of social sciences * policy analysis * forecasting political processes * public administration * e-culture * business ethics * sociobiology * econometric models * neuroeconomics * fuzzy logic
Kód oboru RIV: IN - Informatika

Obyčnoj zadačej, vstrečajuščejsja pri analize bol'šich ob'jemov dannych, javljaetsja poisk ich aděkvatnogo predstavlenija v prostranstve men'šej razmernosti. Odnim iz naiboleje effektivnych ispol'zujemych dlja etogo metodov javljaetsja faktornyj analiz. V nastojaščej rabotě my predlagajem ispol'zovat' v kačestve metoda bulevskogo faktornogo analiza attraktornuju nějronnuju set' tipa Chopfilda. Osobennosti funkcionirovanija predlagajemoj nějronnoj seti ob'jasnjajutsja šag za šagom na primere bulevskogo faktornogo analiza iskusstvenno sozdannogo massiva dannych. V zaključenije my děmonstrirujem effektivnost' metoda v priloženii k analizu rezul'tatov golosovanija v Gosudarstvennoj dume RF i analizu statěj, predstavlennych na Meždunarodnye konferencii po nějronnym setjam.

This multi-authored monograph is dedicated to the application of neurocomputer and some related models in different spheres of social and humanitarian knowledge (political studies, sociology, administration, business ethics, economics) and also fundamental problems of the neuro-computer paradigm development. The book can be useful for the specialists in various fields of neuro-computing, political forecasting, administration sociology, organization management and state administration as well as for everyone interested in the perspectives of development and application of the neural network technologies, neuro-computers and neuro-modelling, including post-graduates and students of technical, biological and social science specialties.
Trvalý link: http://hdl.handle.net/11104/0227343