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Global attracting sets of non-autonomous and complex-valued neural networks with time-varying delays

机译:具有时变时滞的非自治和复值神经网络的全局吸引集

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In this paper, a class of non-autonomous and complex-valued neural networks with time-varying delays are investigated. Some sufficient conditions to guarantee the boundedness of the networks are derived, by developing a new integral inequality and applying the properties of spectral radius of nonnegative matrix. Meanwhile, the framework of the global attracting sets for complex-valued neural networks with time-varying delays is given out Finally, the effectiveness of the theoretical analysis is illustrated by some examples with computer simulation. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文研究了一类具有时变时滞的非自治和复值神经网络。通过发展新的积分不等式并应用非负矩阵的谱半径特性,得出了一些足以保证网络有界的条件。同时给出了时变时滞复数值神经网络的全局吸引集框架。最后,通过计算机仿真算例说明了理论分析的有效性。 (C)2015 Elsevier B.V.保留所有权利。

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