[1]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.
Copy

Fast unit pruning algorithm for multilayer feedforward network design

References:
[1]魏海坤,徐嗣鑫,宋文忠.神经网络的泛化理论和泛化方法[J].自动化学报, 2001,27( 6):806815.
 WEI Haikun, XU Sixin,SONG Wenzhong. Generalization theory and generalization met hods for neural networks [J]. Acta Automatica Sinica, 2001, 27(6): 806815.
[2]何述东.多层前向神经网络结构的研究进展[J].控制理论与应用,1998, 15(3 ):313319.
 HE Shudong. Survey of architecture for multilayer feedfor ward neural networks [J]. Control Theory and Applications, 1998,15(3):313319.
[3]MOODY J. Prediction risk and architecture selection for neural net works [C]// Statistics to Neural Networks: Theory and Pattern Recognition Applications, NATO ASI Series F. New York, 1994.
[4]FAHLMAN S E , LEBIERE C. The cascadecorrelation learning architecture [C]// Advances in Neural Information Processing Systems. San Mateo,USA,1990 .
[5]HASSIBI B. STORK D,WOLFF G. Optimal brain surgeon and general network prun ing[C]// IEEE International Conferenceon on Neural Networks. Perth,Australia,1993. 
[6]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,2 005,17(1):162165.
YANG Zhongjin, SHI Zhongke. Fast approach for optimal brain surgeon[J]. Journ a l of System Simulation,2005,17(1):162165.
[7]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, 2005,45(6):831834.
LI Qian, WANG Yongxian,ZHU Youqin. Hybrid pruning algorithm for artificial neura l network training[J]. Journal of Tsinghua University, 2005,45(6):831834.
[8]JAMES T L. Statistical method of pruning neural networks[C]// International Joint Conference on Neural Networks. Washington,DC,1999.
[9]KIERON M. Fast unit selection algorithm for neural network design[C ]// 15th International Conference on Pattern Recognition. Southampton,2000.
 [10]MESSER K, KITTLER J. Choosing an optimal neural network size to a id search through a large image database[C]// Proc British Machine Vision Confe rence BMVC98.[S.l.],1998.
Similar References:

Memo

-

Last Update: 2009-05-11

Copyright © CAAI Transactions on Intelligent Systems