Novel bifurcation results for a delayed fractional-order quaternion-valued neural network.

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ID: 20313
2019
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Ranked #43 of 55 articles by views in neural networks : the official journal of the international neural network society

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Abstract
This paper reports the innovative results on the stability and bifurcation for a delayed fractional-order quaternion-valued neural network(FOQVNN). Delay-stimulated bifurcation criteria of the developed FOQVNN are attained. Then, the bifurcation diagrams are perfectly exhibited to authenticate the veracity of the bifurcation results. Besides, the stability zone is more larger of the addressed FOQVNN in comparison with its counterpart if other parameters are intercalated. It further witnesses that the amplitudes of bifurcation oscillation get bigger with the augmentation of time delay. It discloses that the bifurcation phenomena engender earlier as the order incrementally magnifies. The exactness and merits of the achieved analytic results are eventually substantiated by a simulation example.
Reference Key
huang2019novelneural Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Huang, Chengdai;Nie, Xiaobing;Zhao, Xuan;Song, Qiankun;Tu, Zhengwen;Xiao, Min;Cao, Jinde;
Journal neural networks : the official journal of the international neural network society
Year 2019
DOI
S0893-6080(19)30134-0
URL
Keywords Keywords not found

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