mL-CNN: a CNN model for reaction-diffusion processes in m-component systems

A. Selikhov
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Abstract

A mL-CNN is presented in this paper as a generalization of CNN models of reaction-diffusion processes in nonlinear media with m components. Main properties of the model are considered in accordance with imaginations of the process "mechanisms". Two particular CNN models, an autonomous 2L-CNN and a 2L-CNN with external inputs, are presented as examples of special cases of the mL-CNN. Emergence of some complex phenomena in such particular models are also shown.
mL-CNN: m组分系统中反应扩散过程的CNN模型
本文提出了一种mL-CNN模型,作为非线性介质中m分量反应扩散过程的CNN模型的推广。模型的主要性质是根据过程“机制”的想象来考虑的。两种特殊的CNN模型,一个是自主的2L-CNN,一个是带有外部输入的2L-CNN,作为mL-CNN的特殊情况的例子。在这种特殊的模型中也出现了一些复杂的现象。
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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