The estimates of attractive domain and convergent rate of nonlinear continuous memory neural network are obtained, and some sufficient conditions for the network to be globally exponentially stable are developed, these results generalize ones in references. 给出一种新的简单方法分析非线性连续神经网络的指数稳定性。得到了最优化计算神经网络全局指数稳定的一些判定条件,以及联想记忆神经网络各平衡态的吸引域与收敛速度估计。
The research will have an important significance for the design and application of the continuous associate memory cnn. 该研究对连续型联想细胞神经网络的设计和应用均有重要的作用。
Analysis and optimal design of nonlinear continuous associative memory neural networks 非线性连续联想记忆神经网络的分析和优化设计
Study on the Local Exponential Stability of Continuous Associate Memory Cellular Neural Networks 连续型联想细胞神经网络局部指数稳定性研究
Some new results about estimation of attraction domain of memory patterns and exponential convergence rate of the network trajectories to memory patterns for Hopfield continuous associative memory are obtained by using of some new technics and Lyapunov method. 本文利用某些技巧和Lyapunov方法,得到了Hopfield连续联想记忆模式的吸引域及其中每一点趋向记忆模式的指数收敛速度的一些全新的估计结果。