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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 complex dynamical behavior of first-order cellular neural networks with time-delay is studied. The existence of Hopf bifurcation is proved. It is pointed out that chaos can be generated in this network if appropriate parameters are selected. Computer simulations show that the conclusions obtained are correct Since the network is relatively simple in construction, it can be used as a chaos generator