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Equilibrium points and stability analysis of a class of neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007) 4491 LNCS(PART 1) 879-889
DOI: 10.1007/978-3-540-72383-7_102
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Abstract

This paper discusses a mathematical model of network, which is more general than the cellular neural networks(CNNs). In this study, we discuss some dynamical properties of this type of network, such as the distribution of equilibrium points and the influence of external input on stability. Moreover, we give some criterions, which ensure the complete stability of this network. © Springer-Verlag Berlin Heidelberg 2007.

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Xue, X. (2007). Equilibrium points and stability analysis of a class of neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4491 LNCS, pp. 879–889). Springer Verlag. https://doi.org/10.1007/978-3-540-72383-7_102

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