Analysis and design of winner-take-all behavior based on a novel memristive neural network

被引：1
|
作者：
Ailong Wu
Zhigang Zeng
Jiejie Chen
机构：
[1] Hubei Normal University,College of Mathematics and Statistics
[2] Xi’an Jiaotong University,Institute for Information and System Science
[3] Huazhong University of Science and Technology,School of Automation
[4] Control of Education Ministry of China,Key Laboratory of Image Processing and Intelligent
来源：
Neural Computing and Applications | 2014年 / 24卷
关键词：
Winner-take-all; Memristive neural networks; Hybrid systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, some sufficient conditions are derived to guarantee a novel memristive neural network for realizing winner-take-all behavior. Some design methods for synthesizing the winner-take-all behavior based on the memristive neural network are developed by using the obtained results. Finally, simulation results demonstrate the validity and characteristics of the proposed approach.
引用
收藏
页码：1595 / 1600
页数：5
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