کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
407060 | 678125 | 2013 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Stochastic stability analysis of competitive neural networks with different time-scales
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Stochastic stability analysis of competitive neural networks with different time-scales Stochastic stability analysis of competitive neural networks with different time-scales](/preview/png/407060.png)
چکیده انگلیسی
Most computational models for competitive neural networks describe activity–connectivity interactions at different time-scales. We extend these existing models by considering stochastic processes and establish stability results based on the theory of singularly perturbed stochastic systems. Based on a reduced-order model we determine conditions that ensure the existence of the exponentially mean-square stability equilibria of the stochastic nonlinear system. It is assumed that the system is described by Ito-type equations. We derive a Lyapunov function for the coupled system and an upper bound for the parameters of the independent stochastic process.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 118, 22 October 2013, Pages 115–118
Journal: Neurocomputing - Volume 118, 22 October 2013, Pages 115–118
نویسندگان
Anke Meyer-Bäse, Guillermo Botella, Liliana Rybarska-Rusinek,