TY - GEN A1 - Zhang, Qianhong A1 - Yang, Lihui A1 - Liao, Daixi A2 - Korbicz, Józef - red. A2 - Uciński, Dariusz - red. PB - Zielona Góra: Uniwersytet Zielonogórski N2 - Fuzzy cellular neural networks with time-varying delays are considered. Some sufficient conditions for the existence and exponential stability of periodic solutions are obtained by using the continuation theorem based on the coincidence degree and the differential inequality technique. The sufficient conditions are easy to use in pattern recognition and automatic control. Finally, an example is given to show the feasibility and effectiveness of our methods. L1 - http://www.zbc.uz.zgora.pl/Content/46948/AMCS_2011_21_4_6.pdf L2 - http://www.zbc.uz.zgora.pl/Content/46948 KW - fuzzy cellular neural networks KW - global exponential stability KW - periodic solution KW - coincidence degree T1 - Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays UR - http://www.zbc.uz.zgora.pl/dlibra/docmetadata?id=46948 ER -