کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
404397 | 677421 | 2010 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Frequency domain analysis for bifurcation in a simplified tri-neuron BAM network model with two delays
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
In this paper, a class of simplified tri-neuron BAM network model with two delays is considered. By applying the frequency domain approach and analyzing the associated characteristic equation, the existence of bifurcation parameter point is determined. If the sum ττ of delays τ1τ1 and τ2τ2 is chosen as a bifurcation parameter, it is found that Hopf bifurcation occurs when the sum ττ passes through a series of critical values. The direction and the stability of Hopf bifurcation periodic solutions are determined by the Nyquist criterion and the graphical Hopf bifurcation theorem. Some numerical simulations for justifying the theoretical analysis are also provided. Finally, main conclusions are given.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 23, Issue 7, September 2010, Pages 872–880
Journal: Neural Networks - Volume 23, Issue 7, September 2010, Pages 872–880
نویسندگان
Changjin Xu, Xianhua Tang, Maoxin Liao,