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Analysis of Regional Innovation Systems by Neural Networks and Cluster Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F10%3A39881990" target="_blank" >RIV/00216275:25410/10:39881990 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Regional Innovation Systems by Neural Networks and Cluster Analysis

  • Original language description

    The paper discusses the importance of regional innovation systems. They are defined as cooperation between companies and institutions in the development and dissemination of knowledge in innovation processes. The input variables are proposed for the analysis of regional innovation systems. They include factors related to economy, R&amp;D and education. Data are analyzed by the model merging neural networks and cluster analysis algorithm with the aim of data dimension reduction and, moreover, the model makes it possible to visualize regional innovation systems in a topological map. The results show on different typologies of regional innovation systems in the European Union.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Communication and Management in Technological Innovation and Academic Globalization

  • ISBN

    978-960-474-254-7

  • ISSN

    1792-6718

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    WSEAS Press

  • Place of publication

    Atény

  • Event location

    Puerto De La Cruz

  • Event date

    Nov 30, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article