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Innovation systems by nonlinear networks

Andriani, P.; Conti, F.; Fortuna, L.; Frasca, M.; Passiante, G.; Rizzo, A.

Authors

P. Andriani

F. Conti

L. Fortuna

M. Frasca

G. Passiante

A. Rizzo



Abstract

Cellular Neural Networks (CNNs) constitute a powerful paradigm for modeling complex systems. Innovation systems are complex systems in which small and medium enterprises play the role of simple units interacting with each other. In this paper, innovation systems based on CNN are investigated. It is shown how a model based on CNN can reproduce the main features of innovation systems and how this model can be generalized to include different aspects of the actors of the financial market.

Citation

Andriani, P., Conti, F., Fortuna, L., Frasca, M., Passiante, G., & Rizzo, A. (2006). Innovation systems by nonlinear networks. Nonlinear Dynamics, 44(1-4), 263-268. https://doi.org/10.1007/s11071-006-1999-0

Journal Article Type Article
Publication Date Jun 1, 2006
Deposit Date Mar 24, 2010
Journal Nonlinear Dynamics
Print ISSN 0924-090X
Electronic ISSN 1573-269X
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 44
Issue 1-4
Pages 263-268
DOI https://doi.org/10.1007/s11071-006-1999-0
Keywords Connectivity level, Cellular Neural Networks, Innovation diffusion.