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首页> 外文期刊>Discrete and continuous dynamical systems▼hSeries S >HOPF BIFURCATION OF A FRACTIONAL-ORDER OCTONION-VALUED NEURAL NETWORKS WITH TIME DELAYS
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HOPF BIFURCATION OF A FRACTIONAL-ORDER OCTONION-VALUED NEURAL NETWORKS WITH TIME DELAYS

机译:Hopf分叉与时间延迟的分数阶octonion valive神经网络

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摘要

In this paper,the hopf bifurcation of a fractional-order octonion-valued neural networks with time delays is investigated.With this constructed model all the parameters would belong to the normed division algebra of octonians.Because of the non-commutativity of the octonians,the fractional-order octonian-valued neural networks can be decomposed into four-dimensional realvalued neural networks.Furthermore,the conditions for the occurrence of Hopf bifurcation for the considered model are firstly given by taking time delay as a bifurcation parameter.Also we investigate their bifurcation when the system loses its stability.Finally,we give one numerical simulation to verify the effectiveness of the our proposed method.
机译:在本文中,研究了具有时间延迟的分数阶Optonion值神经网络的HOPF分岔。在这种构建的模型中,所有参数都属于八东尼人的规范分裂代数。因为八东尼人的非换向性,分数阶Octonian值神经网络可以分解为四维现实的神经网络。通过将时间延迟作为分叉参数来首先给出所考虑的模型的Hopf分叉的发生条件。我们调查他们的分叉系统失去稳定性的分叉。最后,我们给出一个数值模拟,以验证我们提出的方法的有效性。

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