General Decay Synchronization for Recurrent Neural Networks With Distributed Time Delays
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摘要: 对具有分布时滞的递归神经网络模型进行了研究,并通过构造适当的Lyapunov-Krasovskii函数和非线性控制函数,采用不等式估计方法,得到了所研究模型一般衰减同步的充分条件.最后给出了一个例子,进一步说明了所得结论的正确性.Abstract: The general decay synchronization (GDS) of a class of recurrent neural networks (RNNs) with general activation functions and distributed delays was studied. By means of suitable LyapunovKrasovskii functionals and useful inequality techniques, some sufficient conditions for the GDS of considered RNNs were established via a type of nonlinear control. An example with numerical simulations illustrates the correctness of the obtained theoretical results.
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