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On Autowave Travelling of Discrete Pulse-coupled Neural Networks

机译:关于离散脉冲耦合神经网络的自动传播

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Autowave travelling of Discrete Pulse Coupled Neural Networks(PCNNs) is of much importance in dealing with image processing and combinatorial optimization with PCNNs. This paper presents the condition for the autowave to spread in the PCNN on the stimulus of neurons in it. The condition is that whenever the intensity of stimulus to the neurons is in the range of an exponentially decreasing band along the neurons that are from the autowave source neuron, the autowave could spread out along the neurons in the net. The spreading ability respect to the parameters of the PCNN is studied. Finally, a large number of experiments show a concrete consistency with our theoretical results.
机译:离散脉冲耦合神经网络(PCNNS)的自动传播在处理图像处理和使用PCNNS的组合优化方面具有很大的重要性。本文介绍了自动检测在PCNN上蔓延的神经元刺激。条件是,每当刺激到神经元的强度沿着来自滑动源神经元的神经元的指数上减小的带的范围,自动波动可以沿着网中的神经元散布。研究了对PCNN参数的扩散能力。最后,大量实验表明了与我们的理论结果的具体一致。

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