An Adaptive Classification Method of BP-NN Group Based Classification System and Its Application

SONG Rui; ZHANG Jing; XIA Sheng-ping; YU Wen-xian

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An Adaptive Classification Method of BP-NN Group Based Classification System and Its Application

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- An Adaptive Classification Method of BP-NN Group Based Classification System and Its Application
- Acta Electronica Sinica Vol. 29, Issue S1, Pages: 1950-1953(2001)
- 作者机构：
  
  国防科技大学ATR重点实验室,湖南,长沙,410073
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957
- Published：2001
- 稿件说明：
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SONG Rui, ZHANG Jing, XIA Sheng-ping, et al. An Adaptive Classification Method of BP-NN Group Based Classification System and Its Application[J]. Acta Electronica Sinica, 2001, 29(S1): 1950-1953.
DOI：

SONG Rui, ZHANG Jing, XIA Sheng-ping, et al. An Adaptive Classification Method of BP-NN Group Based Classification System and Its Application[J]. Acta Electronica Sinica, 2001, 29(S1): 1950-1953. DOI：

摘要

本文针对基于BP神经网络的分类系统

提出了神经网络群的概念

在此基础上给出了一种系统自适应增长算法

使得在新的目标类型加入时系统结构能够自适应调整.验证结果表明

该算法可以在增加新的目标类型时简化系统结构的调整过程

缩短重新训练网络所需要的时间

从而有效地提高网络的训练效率.

Abstract

In this paper

a neural network group is defined for BP-NN based classification systems.Then an adaptive algorithm for system growth is brought out

with which the system structure can be adjusted adaptively when new target class is added to the system.The experimental results have shown that when adding a new target class

the proposed method can simplify the adjustment of the system structure

shorten the time needed for system re-training

and thus improve the system training efficiency.

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同济大学嵌入式系统与服务计算教育部重点实验室上海

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