Design of multi-valued Cellular Neural Networks for associative memory

被引：0

作者：

Zhang, Zhong ^{[1
]}

Akiduki, Takuma ^{[1
]}

Miyake, Tetsuo ^{[1
]}

Imamura, Takashi ^{[1
]}

机构：

[1] Toyohashi Univ Technol, Dept Prod Syst Engn, 1-1 Hibarigaoka,Tenpaku Cho, Toyohashi, Aichi 4418580, Japan

来源：

2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13 | 2006年

关键词：

Cellular Neural Networks; multivalued function; associative memory; abnormal detection;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper discusses the design of multi-valued output functions of Cellular Neural Networks (CNNs) implementing associative memories. The output function of the CNNs is a piecewise linear function which consists of a saturation and non-saturation range. The new structure of the output function is defined, and is called the "basic waveform". The saturation ranges with n levels are generated by adding n - 1 basic waveforms. Consequently, creating an associative memory of multi-valued patterns has been successful, and computer experiment results show the validity of the proposed method. The results of this research can expand the range of applications of CNNs as associative memories.

引用

页码：927 / +

页数：2

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