کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4950883 | 1441038 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Signum-function array activated ZNN with easier circuit implementation and finite-time convergence for linear systems solving
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Signum-function array activated ZNN with easier circuit implementation and finite-time convergence for linear systems solving Signum-function array activated ZNN with easier circuit implementation and finite-time convergence for linear systems solving](/preview/png/4950883.png)
چکیده انگلیسی
A new type of Zhang neural network (ZNN), which is activated by the signum-function array, is proposed for linear systems solving. Such a signum-function array activated ZNN is developed on the basis of a vector-valued error function instead of a scalar-valued norm-based energy function. Besides, a theorem is provided to illustrate the excellent finite-time convergence property of the new-type ZNN. In addition, the corresponding circuit schematic of the signum-function array activated ZNN is given. For better illustration, a representative simulative example is presented and the corresponding simulation result is shown to substantiate the efficacy of the proposed new-type ZNN for linear systems solving. Besides, the comparative simulation result further shows the desired finite-time convergent performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Processing Letters - Volume 124, August 2017, Pages 30-34
Journal: Information Processing Letters - Volume 124, August 2017, Pages 30-34
نویسندگان
Yunong Zhang, Yaqiong Ding, Binbin Qiu, Yinyan Zhang, Xiaodong Li,