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变时滞模糊BAM神经网络的全局指数稳定性
引用本文:徐晓琳,陈立平,王良龙.变时滞模糊BAM神经网络的全局指数稳定性[J].安徽教育学院学报,2009,27(6):3-6.
作者姓名:徐晓琳  陈立平  王良龙
作者单位:安徽大学数学科学学院,安徽,合肥,230039 
基金项目:国家自然基金,安徽省自然科学基金,安徽省高校人才基金,安徽大学研究生部科技创新与重点课程建设项目资助 
摘    要:本文讨论了一类具有变时滞模糊FBAM(fuzzybi—directional associate memory)神经网络平衡点的存在性和全局指数稳定性,利用不动点定理及Halanay型不等式获得了平衡点存在唯一性及全局指数稳定性的充分条件,所得结论容易验证.最后举例说明所得结果的可行性。

关 键 词:模糊BAM神经网络  变时滞  全局指数稳定性  Halanay型不等式

Global Exponential Stability of Fuzzy BAM Neural Networks with Variable Delays
XU Xiao-lin,CHEN Li-ping,WANG Liang-long.Global Exponential Stability of Fuzzy BAM Neural Networks with Variable Delays[J].Journal of Anhui Institute of Education,2009,27(6):3-6.
Authors:XU Xiao-lin  CHEN Li-ping  WANG Liang-long
Institution:XU Xiao-lin,CHEN Li-ping,WANG Liang-long (School of Mathematics,Anhui University,Hefei 230039,China)
Abstract:The main purpose of this paper is to study the existence and the global exponential stability of the equilibrium point of a class of fuzzy BAM(bi-directional associate memory)neural networks with variable delays.By using the fixed point theorem,Halanay-type inequalities,the existence,uniqueness and global exponential stability of the equilibrium have been established for this model.The results are easily verified and an example is given to illustrate the feasibility of the results obtained.
Keywords:fuzzy BAM neural networks  variable delays  global exponential stability  Halanay-type inequali  
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