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RBF神经网络的C4ISR系统效能评估
引用本文:欧立铭,徐晓刚,王斌. RBF神经网络的C4ISR系统效能评估[J]. 火力与指挥控制, 2011, 36(10): 9-10,14
作者姓名:欧立铭  徐晓刚  王斌
作者单位:1. 海军大连舰艇学院,辽宁大连,116018
2. 海军蚌埠士官学校,安徽蚌埠,233012
基金项目:国家自然科学基金(60975016); 辽宁省自然科学基金资助项目(20082176)
摘    要:针对当前效能评估方法存在人为因素干扰的问题,并考虑到RBF网络具有收敛速度快,无局部极小优点等优点,建立了基于RBF网络的C4ISR系统效能评估模型.模型采用K-均值聚类算法确定隐层节点数据中心和扩展常数;用最小二乘法进行输出层权值的修正;为防止病态,用目标总函数动态地确定隐节点的个数.最后,将得到的结果和BP网络输出...

关 键 词:C4ISR  效能评估  RBF网络

The Effectiveness Evaluation of C~4ISR System Based on RBF Networks
OU Li-ming,XU Xiao-gang,WANG Bin. The Effectiveness Evaluation of C~4ISR System Based on RBF Networks[J]. Fire Control & Command Control, 2011, 36(10): 9-10,14
Authors:OU Li-ming  XU Xiao-gang  WANG Bin
Affiliation:OU Li-ming1,XU Xiao-gang1,WANG Bin2(1.Dalian Naval Academy,Dalian 116018,China,2.Bengbu Naval Petty Officer Academy,Bengbu 233012,China)
Abstract:In allusion to the problem that the currently method to evaluate effectiveness has man-made factor and considering that the RBF networks converges very fast without any part infinitesimal node etc.The text adopted the aim-total-function dynamically selecting the number of concealed locations,founded a model of effectiveness evaluation of the C4ISR system.The model adopted K-means clustering to confirm the data center and the extend constant of the concealed locations and the total least square method to ame...
Keywords:C4ISR  effectiveness evaluation  RBF networks  
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