Dynamic evolution evoked by external inputs in memristor-based wavelet neural networks with different memductance functions

Advances in Difference Equations

Ailong Wu¹  Zhigang Zeng²  Jian Xiao⁴ 

[1] College of Mathematics and Statistics, Hubei Normal University, Huangshi, China;Institute for Information and System Science, Xi’School of Automation, Huazhong University of Science and Technology, Wuhan, China;an Jiaotong University, Xi’an, China

关键词: memristor;    wavelet neural networks;    dynamics;   

DOI  :  10.1186/1687-1847-2013-258

学科分类：数学（综合）

来源: SpringerOpen

【 摘 要 】

In this paper, we present a preliminary study concerning the dynamic flows in memristor-based wavelet neural networks with continuous feedback functions and discontinuous feedback functions in the presence of different memductance functions. The theoretical studies as well as the computer simulations confirm our claim. The analysis can characterize the fundamental electrical properties of memristor devices and provide convenience for applications.

【 授权许可】

CC BY