کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
976555 | 933138 | 2008 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Transient dynamics of sparsely connected Hopfield neural networks with arbitrary degree distributions
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
فیزیک ریاضی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Transient dynamics of sparsely connected Hopfield neural networks with arbitrary degree distributions Transient dynamics of sparsely connected Hopfield neural networks with arbitrary degree distributions](/preview/png/976555.png)
چکیده انگلیسی
Using probabilistic approach, the transient dynamics of sparsely connected Hopfield neural networks is studied for arbitrary degree distributions. A recursive scheme is developed to determine the time evolution of overlap parameters. As illustrative examples, the explicit calculations of dynamics for networks with binomial, power-law, and uniform degree distribution are performed. The results are good agreement with the extensive numerical simulations. It indicates that with the same average degree, there is a gradual improvement of network performance with increasing sharpness of its degree distribution, and the most efficient degree distribution for global storage of patterns is the delta function.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 387, Issue 4, 1 February 2008, Pages 1009–1015
Journal: Physica A: Statistical Mechanics and its Applications - Volume 387, Issue 4, 1 February 2008, Pages 1009–1015
نویسندگان
Pan Zhang, Yong Chen,