A Study of Neural Networl Model with Importance Emphasizing for Associative Memory

Yu Daoheng & Yu Limin

您当前的位置：

首页 >

文章列表页 >

A Study of Neural Networl Model with Importance Emphasizing for Associative Memory

更新时间：2025-12-08

- A Study of Neural Networl Model with Importance Emphasizing for Associative Memory
- Acta Electronica Sinica Issue 1, Pages: 89-91(1992)
- 作者机构：
  
  1. 北京大学无线电系
  2. 北京大学无线电系北京 100871
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1992
- 稿件说明：
移动端阅览
[1]余道衡,于立民.重点强化联想记忆人工神经网络模型研究[J].电子学报,1992,{4}(01):89-91.

Yu Daoheng & Yu Limin. A Study of Neural Networl Model with Importance Emphasizing for Associative Memory[J]. Acta Electronica Sinica, 1992, (1): 89-91.
[1]余道衡,于立民.重点强化联想记忆人工神经网络模型研究[J].电子学报,1992,{4}(01):89-91. DOI：

Yu Daoheng & Yu Limin. A Study of Neural Networl Model with Importance Emphasizing for Associative Memory[J]. Acta Electronica Sinica, 1992, (1): 89-91. DOI：

摘要

本文研究了一种新的重点强化联想记忆人工神经网络模型

大量计算机模拟结果表明

该模型的特性优于Hopfield网络

当强化系数P较大时

也优于Y.C.Lee高阶关联网络

而其硬件实现较后者容易得多。

Abstract

In this paper

we study a new model of neural network with importance emphasizing for associative memory. It shows by a great number of computer modelling results that the network is much better than Hopfield’s. It can also be better than Y.C. Lee’s higher order correlation network if with a larger emphasizing parameter P.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multiple Weighted Improved Exponential Bidirectional Associative Memory Model

A New Analytical Method for Hopfield Type Associative Memory Neural Networks

Cellular Neural Networks with Multi-Step Output Function

A Learning Algorithm of Associative Memory with Optimal Stability of Pattern Components

Fractal Cellular Neural Networks for Associative Memory

Related Author

CHEN Song-can

CAI Jun

Mlao Zhenjiang

Yuan Baozong

王俊生

甘强

韦钰

梁学斌

Related Institution

南京航空航天大学计算机科学与工程系

南京大学计算机软件新技术国家重点实验室

南京航空航天大学计算机科学与工程系江苏南京

南京大学计算机软件新技术国家重点实验室江苏南京

Institute of Information Science,Northern Jiaotong University

⁰