Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 442-445.doi: 10.11896/j.issn.1002-137X.2017.6A.099

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Study on Military Equipment Maintenance Support Sites’ Location Problem Based on BP and RBF Neural Network

DONG Peng, LU Wei and QIN Fu-rong   

  • Online:2017-12-01 Published:2018-12-01

Abstract: To solve the scientific location problems of military equipment maintenance support sites,we proposed location method based on BP and RBF neural network modle,designed computational procedures,illustrated an application case,and finally finding the different types of problem which the two methods are suited.

Key words: Military equipment,Maintenance support sites,Location problem,BP neural network,RBF neural network

[1] 张景臣.军事装备维修保障概论[M].北京:国防工业出版社,2012.
[2] 赵承光.军事装备技术保障学[M].北京:解放军出版社,2006.
[3] 刘志勤,王兴录.战时装备保障概论[M].北京:军事科学出版社,2002.
[4] DAI J,ZONG H.基于复杂网络聚类的最优选址模型[J].地理科学,2016,33(2):143-149.
[5] 何亚群,胡寿松.基于粗糙集的空军航材供应点的偏好选址[J].系统工程理论与实践,2003,3(7):95-99.
[6] KOWALCZYK A,FERRA H.Generalization in FeedforwardNetworks[J].Acta Biologica Hungarica,1994,0(3):215-222.
[7] KWOK T Y,YEUNG D Y.Constructive algorithms for structure learning in feedforward neural networks for regressing problems[J].IEEE Trans.Neural Networks,1997,8(3):630-645.
[8] 王旭,王宏,王文辉.人工神经网络原理与应用[M].沈阳:东北大学出版社,2000.
[9] FNAIECH F,BASTARD D,BUZENAC V,et al.A fast Kalman filter based new algorithm for training feedforward neural networks[C]∥Proc.EUSIPCO 94.Edinburg,UK,1994:13-16.

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