کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10151309 | 1666113 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Two-neuron-based non-autonomous memristive Hopfield neural network: Numerical analyses and hardware experiments
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Two-neuron-based non-autonomous memristive Hopfield neural network: Numerical analyses and hardware experiments Two-neuron-based non-autonomous memristive Hopfield neural network: Numerical analyses and hardware experiments](/preview/png/10151309.png)
چکیده انگلیسی
This paper explores a two-neuron-based non-autonomous memristive Hopfield neural network (mHNN) through numerical analyses and hardware experiments. It is interested that the locus and stability of the AC equilibrium point for the mHNN change with the time evolution. Dynamical behaviors associated with the self-coupling strength of the memristive synapse are numerically investigated by bifurcation diagrams, Lyapunov exponents and phase portraits. Particularly, bursting behaviors are revealed when the order gap exists between the natural frequency and external stimulus frequency. The interesting phenomena are illustrated through phase portraits, transmitted phase portraits, and time-domain waveforms of two cases. Moreover, breadboard experimental investigations are carried out, which effectively verify the numerical simulations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: AEU - International Journal of Electronics and Communications - Volume 96, November 2018, Pages 66-74
Journal: AEU - International Journal of Electronics and Communications - Volume 96, November 2018, Pages 66-74
نویسندگان
Quan Xu, Zhe Song, Han Bao, Mo Chen, Bocheng Bao,