Thursday 23 December 2010

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Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 19-867
Full Name: Veronika Hajkova
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: Studentska 84, Pardubice 53001
Country: CZECH REPUBLIC
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E-mail address: veronika.hajkova@upce.cz
Other E-mails: petr.hajek@upce.cz
Title of the Paper: Typology of Regional Innovation Systems in Europe – A Neural Network Approach
Authors as they appear in the Paper: Veronika Hajkova, Petr Hajek
Email addresses of all the authors: veronika.hajkova@upce.cz, petr.hajek@upce.cz
Number of paper pages: 9
Abstract: The concept of regional innovation systems is discussed in this paper. They are understood as cooperation between companies and institutions in the development and dissemination of knowledge in innovation processes. Previous typologies of regional innovation systems are summarized in order to design a set of input variables characterizing regional innovation systems in Europe. These determinants include three broad categories: economy, R&D and education. Input data are analyzed by the model merging neural networks and cluster analysis algorithm with the aim of data dimensionality reduction and, moreover, the model makes it possible to visualize regional innovation systems in topological maps. The use of clustering quality index shows that there are nine categories (classes) of regional innovation systems in Europe. These categories have different employment structures.
Keywords: Neural networks, Regional innovation systems, Research and development, Typology, Innovation.
EXTENSION of the file: .doc
Special (Invited) Session: Analysis of Regional Innovation Systems by Neural Networks and Cluster Analysis
Organizer of the Session: 202-175
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