Letters: On stability of disturbed Hopfield neural networks with time delays
作者： Yiguang Liu , Zhisheng You , Liping Cao
DOI: 10.1016/J.NEUCOM.2005.08.002
关键词: Ideal solution 、 Mathematics 、 Exponential stability 、 Uniqueness 、 Type (model theory) 、 Hopfield network 、 Stability (learning theory) 、 Control theory 、 Time delays 、 Artificial neural network
摘要: In real application, the dynamics of Hopfield neural network is often affected by disturbing signals and time delays, so it worthwhile to study dynamical properties this type network. Firstly, ideal solution defined as without signals. order ensure uniqueness, L"2-gain stability, global stability or exponential solution, corresponding sufficient conditions are presented, respectively, using homotopic method, inequality techniques, M-matrix one time-delay inequality. All obtained results illustrated several simulations.
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