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Another advantage of our results is that they neither depend on monotonicity of the activation functions nor on symmetry of the interconnection matrix. Our work has practical importance in evaluating the performance of the related associative memory. To our knowledge, this is the first time to present an estimate on the domains of attraction of equilibrium points for delayed neural networks. <\/jats:p>","DOI":"10.1142\/s0218127406016410","type":"journal-article","created":{"date-parts":[[2006,11,24]],"date-time":"2006-11-24T11:27:06Z","timestamp":1164367626000},"page":"2737-2743","source":"Crossref","is-referenced-by-count":8,"title":["GUARANTEED ATTRACTIVITY OF EQUILIBRIUM POINTS IN A CLASS OF DELAYED NEURAL NETWORKS"],"prefix":"10.1142","volume":"16","author":[{"given":"XIAOFAN","family":"YANG","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Chongqing University, Chongqing, 400044, P. R. 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