版权说明 操作指南
首页 > 成果 > 详情

Research on Hopfield neural network in associative memory storage

认领
导出
Link by 中国知网会议论文
反馈
分享
QQ微信 微博
成果类型:
期刊论文、会议论文
作者:
Tu, Li;Zhang, Chi
通讯作者:
Tu, Li(tulip1907@163.com)
作者机构:
[Tu, Li; Zhang, Chi] Department of Computer Science, Hunan City University, Yiyang, Hunan 413000, China
语种:
英文
关键词:
Applicable conditions;Associative memory;Memory patterns;Memory storage;Neural network algorithm;Storage capacity;Applicable conditions;Associative memory;Memory patterns;Memory storage;Neural network algorithm;Pseudo state;Storage capacity;Algorithms;Associative processing;Associative storage;Cybernetics;Information science;Algorithms;Associative processing;Cybernetics;Hopfield neural networks;Information science;Memory architecture;Hopfield neural networks;Associative storage
期刊:
Lecture Notes in Electrical Engineering
ISSN:
1876-1100
年:
2014
卷:
163 LNEE
页码:
1211-1216
会议名称:
2012 International Conference on Cybernetics and Informatics, ICCI 2012
会议时间:
21 September 2012 through 23 September 2012
会议地点:
Chongqing
ISBN:
9781461438717
基金类别:
This work was supported by Scientific Research Fund of Hunan Provincial Science Department under Grant (No: 2011FJ3022, 2011FJ3016).
机构署名:
本校为第一机构
院系归属:
信息与电子工程学院
摘要:
In this paper an improved Hopfield neural network algorithm was given, the applicable conditions of Hopfield neural network models of memory storage is greater than the storage capacity of the perfect search. To overcome the following limitations of Hopfield neural network algorithm: It is not the ideal storage capacity problem, it lack of inter-related, the Pattern of memory and sometimes cannot be too close to the Hopfield neural network algorithm recal1 a stored memory pattern mode1 is not any one model, but it drop into a “pse...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com