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中国物理学会期刊

具有时滞的一阶细胞神经网络动态行为研究

CSTR: 32037.14.aps.52.1606

Study of the dynamics of a first-order cellular neural networks with delay

CSTR: 32037.14.aps.52.1606
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  • 研究了具有时滞的一阶细胞神经网络的复杂动力学行为-证明了Hopf分叉的存在性,指出了 若选择适当的参数,则该网络中可以产生混沌-计算机仿真实验表明所得结论的正确性-由于 该网络的构成较简单,因此实际中可以作为混沌发生器加以应用-

     

    The dynamics of a first-order cellular neural network with delay has been studied in this paper- By using the delay as a bifurcation parameter, the Hopf bifurc ations are proved- Furthermore, by choosing suitable parameters and delay, chaot ic behaviour has been observed- Computer simulations, as well as Lyapunov ex ponent, are presented to support our results- Due to the simple structure of thi s network, it can serve as a chaos-generator in practice-

     

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