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

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• 作者：Yongping LiAuthor Vitae ; Xiaofeng Liao ; ^{xfliao@cqu.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Huaqing LiAuthor Vitae
• 关键词：Boundedness ; Global attracting sets ; Complex-valued neural networks(CVNNs) ; Integral inequality
• 刊名：Neurocomputing
• 出版年：2016
• 出版时间：15 January 2016
• 年：2016
• 卷：173
• 期：part_P3
• 页码：994-1000
• 全文大小：761 K

文摘

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.