caa a22 4500 606160345 CHVBK 20210128100629.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00521-014-1733-7 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1733-7 Xiong Wanmin Furong College, Hunan University of Arts and Science, 415000, Changde, Hunan, People's Republic of China aut New result on convergence for HCNNs with time-varying leakage delays [Elektronische Daten] [Wanmin Xiong] This paper is devoted to further studying on the exponential convergence for a class of high-order cellular neural networks with time-varying leakage delays. Based on the inequality techniques, some sufficient conditions are derived to ensure that all solutions of the addressed system converge exponentially to zero vector. Moreover, an example and its numerical simulation are given to illustrate the main result. The Natural Computing Applications Forum, 2014 High-order cellular neural network nationallicence Exponential convergence nationallicence Time-varying delay nationallicence Leakage term nationallicence Neural Computing and Applications Springer London 26/2(2015-02-01), 485-491 0941-0643 26:2<485 2015 26 521 https://doi.org/10.1007/s00521-014-1733-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1733-7 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Xiong Wanmin Furong College, Hunan University of Arts and Science, 415000, Changde, Hunan, People's Republic of China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/2(2015-02-01), 485-491 0941-0643 26:2<485 2015 26 521