Title

基于二次选择匹配的神经网络集成构造方法研究

Translated Titles

Constructive Methods for Neural Network Ensembles Based on Two Selective Methods Matching

Authors

施彦(Yan Shi);黄聪明(Cong-Ming Huang);侯朝桢(Chao-Zhen Hou)

Key Words

二次选择匹配 ; 神经网络集成 ; 二次集成 ; two selective methods matching ; neural network ensembles ; two-level ensembles

PublicationName

北京理工大學學報

Volume or Term/Year and Month of Publication

24卷10期(2004 / 10 / 01)

Page #

877 - 880

Content Language

簡體中文

Chinese Abstract

研究12种基于二次选择匹配的选择性神经网络二次集成构造方法。分析了两次集成中所用选择方法的匹配关系及第1级结构中选择性神经网络集成个体的个数对神经网络集成效果的影响。仿真结果表明,通过采用二次选择匹配以及一定的集成个数可以保证个体具有较高的精度、差异度,并减少过拟合对集成结果的影响,提高神经网络的集成精度。

English Abstract

Twelve methods for constructing two-level selective neural network ensembles are investigated, as are realized by using two selective methods that accomplish two tasks of individual selection respectively. The effects of different corporations of selection methods and individuals' size on two-level selective neural network ensembles are discussed. Experimental results showed that the matching modes of methods of selection and proper individuals' number adopted can ensure the accuracy and diversity of individuals and alleviate the effect of the over- fitting problem. As a consequence, the accuracy of neural network ensembles is improved.

Topic Category 基礎與應用科學 > 基礎與應用科學綜合
工程學 > 工程學綜合