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

机译:合作标准CNN的omega-limit集二分法失败

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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.
机译:本文研究了与具有典型三段pwl神经元激活的一类合作标准(S)细胞神经网络(CNN)相关的解决方案半流的一些基本方面。假定SCNN神经元互连矩阵是不可约的。通过两个反例,显示了以下基本事实:1)通常,与SCNN相关的半流最终不是强单调的; 2)在一般情况下,omega-limit集二分法的基本属性也会失效。在解决协作动力系统收敛的现有方法的背景下讨论了这些结果的后果。

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