[1]乔俊飞,张 颖.一种多层前馈神经网络的快速修剪算法[J].智能系统学报,2008,3(2):173-176.
QIAO Jun-fei,ZHANG Ying.Fast unit pruning algorithm for multilayer feedforward network design[J].CAAI Transactions on Intelligent Systems,2008,3(2):173-176.
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QIAO Jun-fei,ZHANG Ying.Fast unit pruning algorithm for multilayer feedforward network design[J].CAAI Transactions on Intelligent Systems,2008,3(2):173-176.
一种多层前馈神经网络的快速修剪算法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
3
期数:
2008年第2期
页码:
173-176
栏目:
学术论文—智能系统
出版日期:
2008-04-25
- Title:
- Fast unit pruning algorithm for multilayer feedforward network design
- 文章编号:
- 1673-4785(2008)02-0173-04
- 分类号:
- TP183
- 文献标志码:
- A
- 摘要:
- 针对目前神经网络在应用中难于确定隐层神经元数的问题，提出了一种神经网络结构的快速修剪算法.该算法在最优脑外科算法（OBS）的基础上，通过直接剔除冗余的隐层神经元实现神经网络结构自组织设计.实验结果表明，快速修剪算法与常规的最优脑外科算法相比，具有更简单的网络结构和更快的学习速度.
- Abstract:
- For it is difficult to determine the numbers of hidden neurons in the application of neural networks, a fast unit pruning algorithm for the structure of neural network was presented in the paper. The algorithm which based on optim al brain surgeon（OBS）eliminated the unneeded hidden neurons directly, in which way carried out the selforganization design on the structure of neural networ k s. The results of comparative studies with OBS showed that the fast unit pruning algorithm could reduce both neural network complexity and training time.
- 参考文献/References:
-
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- 相似文献/References:
-
[1]乔俊飞,张颖.一种多层前馈神经网络的快速修剪算法[J].智能系统学报,2008,3(2):83.[doi:CNKI:SUN:ZNXT.0.2008-02-022]
QIAO Jun-fei,ZHANG YingCollege of Electronic and Control Engineering,Beijing University of Technology,et al.Fast unit pruning algorithm for multilayer feedforward network design[J].CAAI Transactions on Intelligent Systems,2008,3():83.[doi:CNKI:SUN:ZNXT.0.2008-02-022]
备注/Memo
收稿日期：2007-03-22.
基金项目：
国家自然科学基金资助项目(60304012，60674066)；
北京市科技新星计划资助项目(H020821210120).
作者简介：
乔俊飞，男，1968年生，教授，博士，主要研究方向为复杂过程建模与控制、计算智能与智能优化控制.
张 颖，女，1982年生，硕士研究生，主要研究方向为污水处理过程的智能化建模与仿真 .
通讯作者：张 颖.zhangying611@163.com.
更新日期/Last Update:
2009-05-11