2003年12月
An improvement of the design method of cellular neural networks based on generalized eigenvalue minimization
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
- ,
- ,
- 巻
- 50
- 号
- 12
- 開始ページ
- 1569
- 終了ページ
- 1574
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1109/TCSI.2003.819827
- 出版者・発行元
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Realization of associative memories by cellular neural networks (CNNs) with binary output is studied. Concerning this problem, a CNN design method based upon generalized eigenvalue minimization (GEVM) has recently been proposed. In this brief, a new CNN design method which is based on the GEVM-based method will be presented. We first give some analytical results related to the basin of attraction of a memory vector. We then derive the design method by combining these analytical results and the GEVM-based method. We finally show through computer simulations that the proposed method can achieve higher recall probability than the original GEVM-based method.
- リンク情報
- ID情報
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- DOI : 10.1109/TCSI.2003.819827
- ISSN : 1549-8328
- eISSN : 1558-0806
- Web of Science ID : WOS:000188198500009