Показати скорочену інформацію

dc.contributor.authorKozhemyako, V. P.en
dc.contributor.authorTymchenko, L. I.en
dc.contributor.authorYarovyi, A. A.en
dc.contributor.authorКожем'яко, В. П.uk
dc.contributor.authorТимченко, Л. І.uk
dc.contributor.authorЯровий, А. А.uk
dc.date.accessioned2017-08-23T11:29:22Z
dc.date.available2017-08-23T11:29:22Z
dc.date.issued2008
dc.identifier.citationKozhemyako, V. P. Methodological Peculiarities of Neural-Like Network Model for Pyramidal and Parallel-Hierarchical Processing of Digital Information [Text] / V. P. Kozhemyako, L. I. Tymchenko, A. A. Yaroviy // Proceedings of the 9th International Conference on „Development and application systems (DAS-08)”, Suceava, Romania, May 22-24, 2008. – Suceava : Universitatea Stefan cel Mare Suceava, 2008. – P. 313-319.en
dc.identifier.urihttp://ir.lib.vntu.edu.ua//handle/123456789/18026
dc.description.abstractThe scientific research deals with organization principles of parallel-hierarchical transform for multistage perception and processing, compression and recognition of information in informational structure and computational systems which make use of computational scheme similar to neural. Unified methodological approach was developed for analysis of parallel processes. This approach considers influence of structural hierarchy in dynamics, in other words it tracks processes of spatial areas transformation of correlated and generation of uncorrelated in time elements of generated network, at the time of transition of the network from one stable stage to another.en
dc.language.isoenen
dc.publisherUniversitatea Stefan cel Mare Suceavaen
dc.relation.ispartofProceedings of the 9th International Conference on „Development and application systems (DAS-08)”, May 22-24, 2008 : 313-319.en
dc.titleMethodological Peculiarities of Neural-Like Network Model for Pyramidal and Parallel-Hierarchical Processing of Digital Informationen
dc.typeArticle


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Показати скорочену інформацію