Multistable neural networks have attracted much interesting in recent years, since the monostable networks are computationally restricted. This paper studies a class of discrete-time two-neurons networks with unsaturating piecewise linear activation functions. Some interesting results for the convergence and the periodicity of solutions of the system are obtained. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Qu, H., & Yi, Z. (2006). Convergence and periodicity of solutions for a class of discrete-time recurrent neural network with two neurons. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3971 LNCS, pp. 291–296). Springer Verlag. https://doi.org/10.1007/11759966_45
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