%0 Journal Article
%T Two-Layer Feedback Neural Networks with Associative Memories<br>
%A WU Gui-Kun
%A ZHAO Hong
%A <br>
%J 中国物理快报
%D 2008
%I 
%X 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.
%K 05
%K 45
%K -a
%K 84
%K 35
%K +i<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=E27DA92E19FE279A273627875A70D74D&aid=505A3A565B9297D75979F919A5CCAFC7&yid=67289AFF6305E306&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=24226F55626D86D5&eid=83BEAC52E8ED5656&journal_id=0256-307X&journal_name=中国物理快报&referenced_num=0&reference_num=0