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Two-Layer Feedback Neural Networks with Associative Memories |
WU Gui-Kun, ZHAO Hong |
Department of Physics, and Institute of Theoretical Physics and Astrophysics, Xiamen University, Xiamen 361005 |
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Cite this article: |
WU Gui-Kun, ZHAO Hong 2008 Chin. Phys. Lett. 25 3871-3874 |
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Abstract We construct a two-layer feedback neural network by a Monte Carlo based algorithm to store memories as fixed-point attractors or as limit-cycle attractors. Special attention is focused on comparing the dynamics of the network with limit-cycle attractors and with fixed-point attractors. It is found that the former has better retrieval property than the latter. Particularly, spurious memories may be suppressed completely when the memories are stored as a long-limit cycle. Potential application of limit-cycle-attractor networks is discussed briefly.
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Keywords:
05.45.-a
84.35.+i
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Received: 25 April 2008
Published: 25 October 2008
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