物理学报Issue(1)：010502-1-010502-9,9.DOI:10.7498/aps.63.010502
改进型细胞神经网络实现的忆阻器混沌电路
Memristive chaotic circuit based on mo dified SC-CNNs
摘要
Abstract
Memristor, as a fundamental nonlinear circuit element, is very suitable for realizing new nonlinear circuits that are able to exhibit complex dynamical behaviors. A modified state-controlled cellular nonlinear network (SC-CNN) cell containing memristors, the output nonlinear function of which is implemented with the intrinsic nonlinearity of memristor, is presented in this paper. By using appropriate connection of four modified SC-CNN cells, a SC-CNN based memristive chaotic circuit is developed. In particular, an imitative memristive circuit is developed to experimentally investigate its dynamical behaviors. The resemblance of experimental results with those of numerical simulations shows that the memristive chaotic circuit can be efficiently implemented in terms of SC-CNN scheme.关键词
忆阻器/分段线性/状态控制细胞神经网络/混沌Key words
memristor/piecewise-linear/state-controlled cellular nonlinear networks/chaos引用本文复制引用
李志军,曾以成,李志斌..改进型细胞神经网络实现的忆阻器混沌电路[J].物理学报,2014,(1):010502-1-010502-9,9.基金项目
国家自然科学基金(批准号:61176032)资助的课题.@@@@Project supported by the National Natural Science Foundation of China (Grant No.61176032) （批准号:61176032）
