caa a22 4500 445830638 CHVBK 20180317145314.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s10255-011-0082-x doi (NATIONALLICENCE)springer-10.1007/s10255-011-0082-x Periodic solution to BAM-type Cohen-Grossberg neural network with time-varying delays [Elektronische Daten] [An-ping Chen, Qun-hua Gu] By using the continuation theorem of Mawhin's coincidence degree theory and the Liapunov functional method, some sufficient conditions are obtained to ensure the existence, uniqueness and the global exponential stability of the periodic solution to the BAM-type Cohen-Grossberg neural networks involving timevarying delays. Institute of Applied Mathematics, Academy of Mathematics and System Sciences, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg, 2011 periodic solution nationallicence time-varying delays nationallicence global exponential stability nationallicence BAM-type Cohen-Grossberg neural network nationallicence coincidence degree theory nationallicence Chen An-ping Department of Mathematics, Xiangnan University, 423000, Chenzhou, Hunan, China aut Gu Qun-hua School of Mathematics and Computational Science, Xiangtan University, 411005, Xiangtan, Hunan, China aut Acta Mathematicae Applicatae Sinica, English Series Institute of Applied Mathematics, Chinese Academy of Sciences and Chinese Mathematical Society 27/3(2011-07-01), 427-442 0168-9673 27:3<427 2011 27 10255 https://doi.org/10.1007/s10255-011-0082-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10255-011-0082-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen An-ping Department of Mathematics, Xiangnan University, 423000, Chenzhou, Hunan, China aut NATIONALLICENCE 700 1- Gu Qun-hua School of Mathematics and Computational Science, Xiangtan University, 411005, Xiangtan, Hunan, China aut NATIONALLICENCE 773 0- Acta Mathematicae Applicatae Sinica, English Series Institute of Applied Mathematics, Chinese Academy of Sciences and Chinese Mathematical Society 27/3(2011-07-01), 427-442 0168-9673 27:3<427 2011 27 10255 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer