Characteristic Of Mutually Coupled Two-Layer CNN And Its Stability
Characteristic Of Mutually Coupled Two-Layer CNN And Its Stability
复制标题
互耦合两层CNN的特点及其稳定性
DOI：
10.1142/s0218126603000982
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
A. Ushida
中科院分区：
文献类型：
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作者：
Zonghuang Yang;Y. Nishio;A. Ushida
本文介绍了一些有趣的图像处理应用与相互耦合的两层细胞神经网络（CNN）。我们发现，与单层CNN相比，双层CNN在一些应用中非常有用，如中心点检测，卷积等。我们还重点讨论了它们的瞬态和操作。此外，基于解耦CNN技术的稳定性，讨论了具有相互耦合对称模板的两层CNN的稳定性。
This paper presents some interesting image processing applications with the mutually coupled two-layer Cellular Neural Networks (CNNs). We found that the two-layer CNNs are very useful compared to single layer CNNs in some applications such as center point detection, skeletonization, and so on. We also focus our discussions on both their transients and operations. In addition, the stability of the two-layer CNNs with mutually coupled symmetric templates is also discussed based on those of decoupling CNN technique.