The dichotomy of omega-limit sets fails for cooperative standard CNNs

M. D. Marco, M. Forti, M. Grazzini, L. Pancioni
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引用次数: 11

Abstract

The paper investigates some basic aspects of the solution semiflow associated to a class of cooperative standard (S) cellular neural networks (CNNs) with a typical three-segment pwl neuron activation. It is assumed that the SCNN neuron interconnection matrix is irreducible. By means of two counter-examples the following basic facts are shown: 1) in general the semiflow associated to the SCNN is not eventually strongly monotone; 2) in the general case also the fundamental property of the omega-limit set dichotomy fails. The consequences of these results are discussed in the context of the existing methods for addressing convergence of cooperative dynamical systems.
本文研究了一类具有典型三段pwl神经元激活的协同标准细胞神经网络(cnn)解半流的一些基本问题。假设SCNN神经元互连矩阵是不可约的。通过两个反例表明了以下基本事实:1)一般来说,与SCNN相关的半流最终不是强单调的;在一般情况下,极限集二分法的基本性质也不成立。这些结果的后果讨论了现有的方法来解决合作动力系统的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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