2008年12月
Stable Patterns Realized by a Class of One-Dimensional Two-Layer CNNs
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
- ,
- ,
- ,
- 巻
- 55
- 号
- 11
- 開始ページ
- 3607
- 終了ページ
- 3620
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1109/TCSI.2008.925828
- 出版者・発行元
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Stable patterns that can be realized by a class of 1-D two-layer cellular neural networks (CNNs) are studied in this paper. We first introduce the notions of potentially stable pattern, potentially stable local pattern, and local pattern set. We then show that all of 256 possible sets can be realized as the local pattern set of the two-layer CNN, while only 59 sets can be realized as the local pattern set of the single-layer CNN. We also propose a simple,way to optimize the template values of the CNN, which is formulated as a set of linear programming problems, and present the obtained values for all of 256 sets.
- リンク情報
- ID情報
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- DOI : 10.1109/TCSI.2008.925828
- ISSN : 1549-8328
- Web of Science ID : WOS:000261847400024