Learning-induced pattern classification in a chaotic neural network
文献类型：期刊论文
| 作者 | Li, Y; Zhu, P; Xie, XP; He, GG; Aihara, K |
| 刊名 | PHYSICS LETTERS A
 |
| 出版日期 | 2012 |
| 卷号 | 376期号:4 |
| 英文摘要 | In this Letter, we propose a Hebbian learning rule with passive forgetting (HLRPF) for use in a chaotic neural network (CNN). We then define the indices based on the Euclidean distance to investigate the evolution of the weights in a simplified way. Numerical simulations demonstrate that, under suitable external stimulations, the CNN with the proposed HLRPF acts as a fuzzy-like pattern classifier that performs much better than an ordinary CNN. The results imply relationship between learning and recognition. (C) 2011 Elsevier B.V. All rights reserved. |
| WOS记录号 | WOS:000299607300036 |
| 公开日期 | 2013-03-18 |
| 源URL | [http://202.127.1.142/handle/181331/7171]  |
| 专题 | 上海技术物理研究所_上海技物所 |
| 推荐引用方式 GB/T 7714 | Li, Y,Zhu, P,Xie, XP,et al. Learning-induced pattern classification in a chaotic neural network[J]. PHYSICS LETTERS A,2012,376(4). |
| APA | Li, Y,Zhu, P,Xie, XP,He, GG,&Aihara, K.(2012).Learning-induced pattern classification in a chaotic neural network.PHYSICS LETTERS A,376(4). |
| MLA | Li, Y,et al."Learning-induced pattern classification in a chaotic neural network".PHYSICS LETTERS A 376.4(2012). |
入库方式： OAI收割
来源：上海技术物理研究所
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