中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A novel continuous-time neural network for realizing associative memory

文献类型:期刊论文

作者Tao, Q; Fang, TJ; Qiao, H
刊名IEEE TRANSACTIONS ON NEURAL NETWORKS
出版日期2001-05
卷号12期号:2页码:418-423
关键词associative memory basin of attraction equilibrium points neural networks projection operator
通讯作者Tao, Q
英文摘要A novel neural network is proposed in this paper for realizing associative memory. The main advantage of the neural network is that each prototype pattern is stored if and only if as an asymptotically stable equilibrium point. Furthermore, the basin of attraction of each desired memory pattern is distributed reasonably (in the Hamming distance sense), and an equilibrium paint that is not asymptotically stable is really the state that cannot be recognized. The proposed network also has a high storage as well as the capability of learning and forgetting, and all its components can be implemented. The network considered is a very simple linear system with a projection on a closed convex set spanned by the prototype patterns. The advanced performance of the proposed network is demonstrated by means of simulation of a numerical example.
源URL[http://ir.ia.ac.cn/handle/173211/12580]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
作者单位Acad Sinica, Hefei Inst Intelligent Machines
推荐引用方式
GB/T 7714
Tao, Q,Fang, TJ,Qiao, H. A novel continuous-time neural network for realizing associative memory[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2001,12(2):418-423.
APA Tao, Q,Fang, TJ,&Qiao, H.(2001).A novel continuous-time neural network for realizing associative memory.IEEE TRANSACTIONS ON NEURAL NETWORKS,12(2),418-423.
MLA Tao, Q,et al."A novel continuous-time neural network for realizing associative memory".IEEE TRANSACTIONS ON NEURAL NETWORKS 12.2(2001):418-423.

入库方式: OAI收割

来源:自动化研究所

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