Andriani, P. and Conti, F. and Fortuna, L. and Frasca, M. and Passiante, G. and Rizzo, A. (2006) 'Innovation systems by nonlinear networks.', Nonlinear dynamics., 44 (1-4). pp. 263-268.
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.
|Additional Information:||Special issue: non linear dynamics of electronic systems.|
|Keywords:||Connectivity level, Cellular Neural Networks, Innovation diffusion.|
|Full text:||Full text not available from this repository.|
|Publisher Web site:||http://dx.doi.org/10.1007/s11071-006-1999-0|
|Record Created:||24 Mar 2010 14:35|
|Last Modified:||19 Jan 2011 16:24|
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