文章基本信息

标题：非単調CDMAニューラルネットを用いた連想記憶イメージセンサの数値的考察
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作者：金澤雄亮 ; 浅井哲也 ; 雨宮好仁等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2004
卷号：58
期号：3
页码：396-408
DOI：10.3169/itej.58.396
出版社：The Institute of Image Information and Television Engineers
摘要：We propose a construction of intelligent image sensors that perform associative memory tasks with nonmonotonic CDMA neural networks. The CDMA approach allows implementing Hopfield's associative neural network on a 2-D rectangular grid (chip), while the storage capacity of the chip is increased by employing a nonmonotonic transfer function. The numerical results of the nonmonotonic CDMA neural networks indicated that i) the CDMA network performed the associative memory task well although the multiple-valued outputs were muxed and demuxed by the CDMA, ii) the number of neurons that could be implemented on a 1 cm×1 cm chip was 340 for a 0.6-μm CMOS process, and iii) the storage capacity (the number of stored patterns per number of neurons) was approximately 0.3, which implies a possible development of associative memory systems on image sensors.
关键词：CDMA;連想記憶;Hopfieldニューラルネットワーク;非単調応答関数;ビジョンチップ;インテリジェントイメージセンサ