Analysis on the Learning Ability of Improved Sparse Distributed Memory Model

PENG Hong-jing; CHEN Song-can

您当前的位置：

首页 >

文章列表页 >

Analysis on the Learning Ability of Improved Sparse Distributed Memory Model

更新时间：2025-07-16

- Analysis on the Learning Ability of Improved Sparse Distributed Memory Model
- Acta Electronica Sinica Vol. 30, Issue 5, Pages: 774-776(2002)
- 作者机构：
  
  南京航空航天大学计算机科学与工程系,江苏,南京,210016
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2002
- 稿件说明：
移动端阅览
PENG Hong-jing, CHEN Song-can. Analysis on the Learning Ability of Improved Sparse Distributed Memory Model[J]. Acta Electronica Sinica, 2002, 30(5): 774-776.
DOI：

PENG Hong-jing, CHEN Song-can. Analysis on the Learning Ability of Improved Sparse Distributed Memory Model[J]. Acta Electronica Sinica, 2002, 30(5): 774-776. DOI：

摘要

Kanerva的稀疏分布存储器模型(SDM)

由于其读写规则采用外积法

因此限制了它的应用.本文对该模型进行改进

改变了原来的读写规则

保留其稀疏分布式存储的特点

得到一个与小脑模型(CMAC)相似的新模型

但它不存在分块效应、不需要HASHING技术.理论分析和示例表明了该改进模型的合理性和有效性.

Abstract

Kanerva's sparse distributed memory model (SDM) was initially applied to associative memory

its application is limited for its reading-writing operation by using outer product.SDM is improved in this paper by changing its original rule of reading-writing operation and retaining its characteristics of sparse distributed memory

then a novel improved model that is similar to CMAC will be obtained

in which no block effect appear and Hashing technology is not used.Theoretical analysis and example have shown this improved model effective and reasonable.

关键词

Keywords

references

Views

1128

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

The CMAC Learning Algorithms of Non-Overlapping Receptive Field with Variable Resolution

Nonlinear Mapping Performance Analysis of Polynomial Perceptron and Its Lattice Realization

A Connection Model of CMAC Network

Timing Synthesis in Digiatl Phase Domain

Related Author

YANG Yan-li

CAO Guang-zhong

向增俊

毕光国

吴伯修

Jiang Wenbin

Shi Fuqiang

Ge Ning

Related Institution

深圳大学计算机系

深圳大学工程与技术学院

Department of Radio Engineering,Southeast University,NanJing,1210018

Dept. of Physics,Huaibei Coal teachers College

Department of Electronic Engineering, Tsinghua University

⁰