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.
Innovation Systems by Nonlinear Networks / Andriani, P.; Conti, F.; Fortuna, L.; Frasca, M.; Passiante, G.; Rizzo, Alessandro. - In: NONLINEAR DYNAMICS. - ISSN 0924-090X. - 44:1-4(2006), pp. 263-268. [10.1007/s11071-006-1999-0]
Innovation Systems by Nonlinear Networks
RIZZO, Alessandro
2006-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
