Abstract
In this paper, synchronization in coupled arrays of Cellular Neural Networks (CNN) is presented. In particular, synchronization of chaotic neural networks is obtained from complex systems theory. We consider two complex networks composed by second-order 3×4 CNN array, and a CNN with delay, the information interactions are defined via coupling law through of the first state of each cell. We impose the dynamics of a master cell to multiple slave cells of a complex network. We obtain synchronization in the complex network when the CNN’s cells are globally coupled.
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Posadas-Castillo, C., Cruz-Hernández, C., López-Gutiérrez, R.M. (2007). Synchronization in Arrays of Chaotic Neural Networks. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds) Foundations of Fuzzy Logic and Soft Computing. IFSA 2007. Lecture Notes in Computer Science(), vol 4529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72950-1_73
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DOI: https://doi.org/10.1007/978-3-540-72950-1_73
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