A Neural Network That Can Recognize Some Common Abstract Features of Different Samples

LI Qian; DENG Hao-jiang; WANG Shou-jue

您当前的位置：

首页 >

文章列表页 >

A Neural Network That Can Recognize Some Common Abstract Features of Different Samples

更新时间：2025-07-16

- A Neural Network That Can Recognize Some Common Abstract Features of Different Samples
- Acta Electronica Sinica Vol. 29, Issue 8, Pages: 1028-1031(2001)
- 作者机构：
  
  中国科学院半导体研究所人工神经网络实验室,北京,100083
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN391.9
- Published：2001
- 稿件说明：
移动端阅览
LI Qian, DENG Hao-jiang, WANG Shou-jue. A Neural Network That Can Recognize Some Common Abstract Features of Different Samples[J]. Acta Electronica Sinica, 2001, 29(8): 1028-1031.
DOI：

LI Qian, DENG Hao-jiang, WANG Shou-jue. A Neural Network That Can Recognize Some Common Abstract Features of Different Samples[J]. Acta Electronica Sinica, 2001, 29(8): 1028-1031. DOI：

摘要

本文提出了一种用神经网络进行不同样本所具有的某些共同特征的识别和学习算法

他不同于实现样本维数压缩的数学特征提取

而是从原始不同样本中识别出他们难以明确表达的某些共同的抽象特征

具体阐述了其实现原理并且用实验验证了可行性.本文为研究不同对象所具有的某些共同的抽象特征提供了一种新的方法.

Abstract

This paper presents a learning algorithm for recognizing the common features of different samples using neural networks.This algorithm is different from the mathematical feature extraction which reduces the dimension of the samples.What this algorithm does is to recognize some common abstract features which the original different samples can not embody definitely.The realization principle is described

and the feasibility is validated by an experiment.This paper provides a new approach for studying some common abstract features of different objects.

关键词

Keywords

references

Views

1048

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A New Approach for Face Recognition Based on Singular Value Features and Neural Networks

Bionic Pattern Recognition—— A New Model of Pattern Recognition Theory and Its Applications (Lab of Artificial Neural Networks,Institute of Semiconductors,CAS,Beijing 100083,China)

Pattern Classification Neural Network Model Based on Homologue Connectedness

The Equal-Error Range Approximation and Shrink Learning Rule for Multilayer Perceptions and Its Applications

A Neural Net DTW Architecture in Speech Recognition

Related Author

GAN Jun-ying

ZHANG You-wei

WANG Shou-jue

YANG Guo-wei

WANG Shou-jue

WEI Cheng-bing

CAO Wen-yi

Wang Yaoguang

Related Institution

School of Information,Wuyi University

School of Electronics and Information Engineering, Beihang University

School of InformationWuyi UniversityJiangmenGuangdong 529020China

School of Electronics and Information EngineeringBeihang UniversityBeijing 100083China

Topological

⁰