التفاصيل البيبلوغرافية
| العنوان: |
Dynamics and Implementation of FPGA for Memristor-Coupled Fractional-Order Hopfield Neural Networks. |
| المؤلفون: |
Yang, Ningning, Liang, Jiahao, wu, Chaojun, Guo, Zhenshuo |
| المصدر: |
International Journal of Bifurcation & Chaos in Applied Sciences & Engineering; Jul2024, Vol. 34 Issue 9, p1-15, 15p |
| مصطلحات موضوعية: |
HOPFIELD networks, ARTIFICIAL neural networks, POINCARE maps (Mathematics), HUMAN fingerprints, LYAPUNOV exponents, BIFURCATION diagrams, NEURAL circuitry |
| مستخلص: |
The coupling between neurons can lead to diverse neural network architectures, with the Hopfield neural network (HNN) being particularly noteworthy for its resemblance to human brain function and its potential in modeling chaotic systems. This paper introduces a novel approach: a fractional-order HNN coupled with a hyperbolic tangent-type memristor. Initially, we propose a new model for the hyperbolic tangent-type memristor and fingerprints. Subsequently, we construct a memristor-coupled fractional-order Hopfield neural network (mFOHNN) and explore its dynamic behavior using various analytical tools, including phase diagrams, bifurcation diagrams, Lyapunov exponent diagrams, Poincaré maps, and attractor basins. Our findings reveal rich coexisting bifurcation behavior in the neural network model, influenced by different initial values of coexisting attractors. Finally, we validate the model through analysis and implementation using Multisim circuit simulation software and FPGA hardware, respectively. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Journal of Bifurcation & Chaos in Applied Sciences & Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
