A novel continuous-time neural network for realizing associative memory
Tao, Q; Fang, TJ; Qiao, H
2001-05
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS
卷号12期号:2页码:418-423
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.
关键词Associative Memory Basin Of Attraction Equilibrium Points Neural Networks Projection Operator
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12580
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
通讯作者Tao, Q
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.
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