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以耦合映象链模型为例 ,利用神经网络的学习能力 ,提出了一种控制耦合系统的时空混沌行为的方法 ,并对控制方法的有效性作了理论分析和仿真研究
Taking coupling mapping chain model as an example, this paper proposes a method to control spatiotemporal chaos behavior of coupled system by using learning ability of neural network, and makes theoretical analysis and simulation research on the effectiveness of the control method