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延迟区间BAM神经动力学模型及鲁棒稳定性分析
引用本文:廖晓峰,吴中福.延迟区间BAM神经动力学模型及鲁棒稳定性分析[J].应用科学学报,1999,17(3):282-288.
作者姓名:廖晓峰  吴中福
作者单位:[1]电子科技大学 [2]重庆大学
基金项目:清华大学计算机系智能技术与系统国家重点实验室开放研究课题基金
摘    要:给出了带轴突信号传输延迟的区间BAM神经动力学模型(DIBAM),它是其他BAM模型的推广,应用区间动力学系统的稳定性理论,并且构造适当的Lyapunov函数,研究了DIBAM的鲁棒稳定性,得到了一个充分条件,用几个具体例子进行了计算机模拟,结果表明所得的鲁棒稳定性条件的正确性。

关 键 词:神经网络  DIBAM  区间动力学系统  鲁棒稳定性

Neural Dynamics of Interval Bidirectional Associative Memory with Delays and Robust Interval Stability Analysis
LIAO XIAOFENG,LIU GUANGYUAN,WU ZHONGFU,YU JUEBANG.Neural Dynamics of Interval Bidirectional Associative Memory with Delays and Robust Interval Stability Analysis[J].Journal of Applied Sciences,1999,17(3):282-288.
Authors:LIAO XIAOFENG  LIU GUANGYUAN  WU ZHONGFU  YU JUEBANG
Institution:LIAO XIAOFENG 1 LIU GUANGYUAN 1 WU ZHONGFU 2 YU JUEBANG 1 1.Department of Optoelectronic technology,University of Electronic Science and Technology of China,Chengdu 610054 2.Chongqing University,Chongqing 400044
Abstract:In this paper neural models of interval bidirectional associative memory with axonal signal transmission delays are given. By using stability theory of the interval dynamical systems and constructing suitable Lyapunov functionals, robust stability of those DIBAM are investigated and sufficient conditions are obtained respectively. Computer simulations are made by use of some examples. It demonstrates correctness for obtained conditions of robust stability.
Keywords:axonal signal transmission delays  bidirectional associative meory models  interval dynamical systems  robust stability
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