Fuzzy judgement in neural optical pattern recognition

被引：0

作者：

Liu, Y ^{[1
]}

Chen, S ^{[1
]}

Guo, PY ^{[1
]}

Shen, JY ^{[1
]}

Zhang, YX ^{[1
]}

机构：

[1] Nankai Univ, Inst Modern Opt, EMC, Optoelect Informat Sci & Technol Lab, Tianjin 300071, Peoples R China

来源：

OPTIK | 1999年 / 110卷 / 12期

关键词：

neural networks; pattern recognition; fuzzy logic; making decision;

D O I：

暂无

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Cascaded neural network model has proved powerful for recognizing 3-D objects with arbitrary spatial distortions. However to realize interconnection with large scale by optical techniques, the gray-levels of innerconnection weights have to be compressed and the resulting information loss unavoidably lower the recognition rate. In order to compensate the loss, we apply fuzzy logical measure when making finial decision. Experimental results are satisfactory.

引用

页码：559 / 562

页数：4

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