图像处理中反向传播内对称网的不确定性现象与方法

2009 International Symposium on Intelligent Ubiquitous Computing and Education Pub Date : 2009-05-15 DOI:10.1109/IUCE.2009.133

Guanzhong Li

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引用次数: 3

摘要

内部对称网络是一类新兴的细胞神经网络。它起源于内部对称量子物理学，并由群论中的五个不可约表示来指出。本文将分析网络在一系列图像处理任务中的不确定性，并在每一步分析后给出问题的处理方法。

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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Phenomenons and Methods: Uncertainty in Internal Symmetry Nets with Backpropagation in Image Processing

Internal Symmetry Nets are a new developed class of cellular neural networks. It originated from internal symmetry quantum physics, and noted by five irreducible representations from group theory. In this paper, uncertainty of the nets in a series of image processing tasks will be analyzed and the methods to deal with problems will be showed after each step of analysis.

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2009 International Symposium on Intelligent Ubiquitous Computing and Education

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