OALib Journal期刊
ISSN: 2333-9721
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一种基于BP神经网络群的自适应分类方法及其应用
, PP. 1950-1953
Keywords: BP神经网络,模式分类,自动目标识别,神经网络群
Abstract:
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.
References
[1] | Polycarpon M M Ioannou P A.Learning and convergence analysis of neural-type structured networks [J].IEEE Trans.Neural Networks,1992,NN-3(1):39-50.
|
[2] | Sauger T D.A tree-structured adaptive network for function approximation in high dimensional spaces [J].IEEE Trans.Neural Networks,NN-2:285-293.
|
[3] | Harald R,Magnus S,David S.Framework for automatic target recognition optimization [R].Charles River Analytics Report.No.R96451,1997(10):4-10.
|
[4] | Guo Gui-rong,YU Wen-xian and ZHANG Wei.An intelligence recognition method of ship targets [J].Fuzzy Sets and Systems,1990,36:27-36.
|
[5] | Schurmann,J.Pattern Classification,A Unified Way of Statistical and Neural Approaches [M].New York:Wiley,1996.
|
[6] | 王继成.一个基于神经网络树结构的模式分类系统[J].电子学报,1997,25(7):107-110
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