可重入脉冲耦合神经网络

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) Pub Date : 1994-06-27 DOI:10.1109/ICNN.1994.374370

F. Allen, H. Caulfield

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摘要

Johnson(1993)开发的PCNN是语法模式转换器。因此，它们的输出在各种各样的“扭曲”上非常相似。我们表明，我们可以将PCNN转换为一个吸引子系统，该系统远离边界，产生点吸引子图标，这是统计模式处理器的理想输入。

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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Reentrant pulse coupled neural networks (PCNNs)

The PCNN developed by Johnson (1993) are syntactic pattern transformers. Hence their outputs are quite similar over a wide variety of "distortions". We show that we can convert a PCNN into an attractor system which, away from boundaries, produces point attractor icons which are ideal inputs to statistical pattern processors.<>

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Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

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