|A novel continuous-time neural network for realizing associative memory|
|Tao, Q; Fang, TJ; Qiao, H
|Source Publication||IEEE TRANSACTIONS ON NEURAL NETWORKS
|Abstract||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.|
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|Corresponding Author||Tao, Q|
|Affiliation||Acad Sinica, Hefei Inst Intelligent Machines|
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.
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.
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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