[1]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(2):83-86.[doi:CNKI:SUN:ZNXT.0.2008-02-022]
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Fast unit pruning algorithm for multilayer feedforward network design
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
3
Number of periods:
2008 2
Page number:
83-86
Column:
学术论文—机器学习
Public date:
2008-04-25
- Title:
- Fast unit pruning algorithm for multilayer feedforward network design
- CLC:
- TP183
- DOI:
- CNKI:SUN:ZNXT.0.2008-02-022
- 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 optimal brain surgeon(OBS)eliminated the unneeded hidden neurons directly,in which way carried out the self-organization design on the structure of neural networks.The results of comparative studies with OBS showed that the fast unit pruning algorithm could reduce both neural network comp...
- References:
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[2] 何述东,瞿坦,黄献青,黄心汉. 多层前向神经网络结构的研究进展[J]控制理论与应用, 1998,(03).
[3] 李倩,王永县,朱友芹. 人工神经网络混合剪枝算法[J]清华大学学报(自然科学版), 2005,(06).
[4] 杨钟瑾,史忠科. 快速自顶向下优化神经网络结构的方法[J]系统仿真学报, 2005,(01).
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Last Update:
2008-08-26