Abstract
to synchronize chaotic neural networks unidirectionally coupled. Synchronization is thus between the master and the slave networks with the slave network being given by an observer. In this paper, we use a Generalized Hamiltonian forms approach
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Posadas-Castillo, C., Cruz-Hernández, C., López-Mancilla, D. (2007). Synchronization of Chaotic Neural Networks: A Generalized Hamiltonian Systems Approach. In: Castillo, O., Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Hybrid Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37421-3_4
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DOI: https://doi.org/10.1007/978-3-540-37421-3_4
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