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- Title
Analysis and design of asymmetric Hopfield networks with discrete-time dynamics.
- Authors
Pengsheng Zheng; Jianxiong Zhang; Wansheng Tang
- Abstract
The retrieval properties of the asymmetric Hopfield neural networks (AHNNs) with discrete-time dynamics are studied in this paper. It is shown that the asymmetry degree is an important factor influencing the network dynamics. Furthermore, a strategy for designing AHNNs of different sparsities is proposed. Numerical simulations show that AHNNs can perform as well as symmetric ones, and the diluted AHNNs have the virtues of small wiring cost and high pattern recognition quality.
- Subjects
ARTIFICIAL neural networks; NEURAL computers; INFORMATION asymmetry; COMPUTER simulation; SYSTEM analysis; DISCRETE-time systems
- Publication
Biological Cybernetics, 2010, Vol 103, Issue 1, p79
- ISSN
0340-1200
- Publication type
Article
- DOI
10.1007/s00422-010-0391-9