Analysis and synthesis of Cohen-Grossberg networks with asymmetric connections
نویسندگان
چکیده
This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae, and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. In this paper, the dynamic behaviours of the asymmetric Cohen–Grossberg neural networks are studied, and some sufficient conditions for the local and global stability of the networks are proposed. Based on the stability results and recently developed system designing method, the networks are constructed for storing and retrieving binary and non-binary patterns, and the network performances are analysed by numerical simulations. It is shown that the designed networks can act as information retrieval systems.
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عنوان ژورنال:
- Connect. Sci.
دوره 23 شماره
صفحات -
تاریخ انتشار 2011