A novel continuous-time neural network for realizing associative memory
Tao, Q; Fang, TJ; Qiao, H
Source PublicationIEEE TRANSACTIONS ON NEURAL NETWORKS
2001-05
Volume12Issue:2Pages:418-423
AbstractA 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.
KeywordAssociative Memory Basin Of Attraction Equilibrium Points Neural Networks Projection Operator
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12580
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Corresponding AuthorTao, Q
AffiliationAcad Sinica, Hefei Inst Intelligent Machines
Recommended Citation
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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