反饋型細(xì)胞神經(jīng)網(wǎng)絡(luò)穩(wěn)定性研究
ON STABILITY OF FEEDBACK MODE IN CNN
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摘要: 一個(gè)含有MN個(gè)細(xì)胞的反饋型細(xì)胞神經(jīng)網(wǎng)絡(luò)可以等效成一個(gè)非反饋連接網(wǎng)絡(luò);這一非反饋連接網(wǎng)絡(luò)含有2MN個(gè)細(xì)胞、具有似鏡象結(jié)構(gòu)鄰域和空間可變權(quán)重模板、輸入權(quán)重模板為零。本文給出了反饋型細(xì)胞神經(jīng)網(wǎng)絡(luò)的穩(wěn)定性定理,以及在似鏡象結(jié)構(gòu)鄰域下的變換形式。
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關(guān)鍵詞:
- 細(xì)胞神經(jīng)網(wǎng)絡(luò); 反饋型; 穩(wěn)定性
Abstract: A feedback mode with MN cells in cellular neural networks (CNN) is equivalent to a network which possesses 2MN cells, a neighborhood of mirror-like strucutre, space-variant templates and without feedback links as well as without input templates. The stability of the feedback mode and transformations of CNN with the neighborhood of mirror-like structure are discussed. -
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