兵工自动化Issue(9)：26-28,3.DOI:10.7690/bgzdh.2015.09.008
融合神经网络与证据理论的发射场试验信息处理方案设计
Design of Launch Site Information Processing Based on BP Neural Network and DS Evidence Theory
赵乙镔 1邢晓辰1
作者信息
- 1. 装备学院研究生管理大队，北京 101416
- 折叠
摘要
Abstract
Based on the analysis on characteristics of launching sites’ testing information and the study on the key technology involved, this paper proposes an information solution incorporated with BP neural network and DS evidence theory in order to increase the reliability of launching sites’ testing information results as well as decrease the impact of conflict information. Moreover, this paper builds a frame of discernment of evidence theory according to the output of neural networks. With related combination rules of evidence theory, it also decides on obtained combination so as to improve the accuracy of assessment and decision upon launching sites’ device status.关键词
数据融合/BP神经网络/DS证据理论Key words
data fusion/BP neural network/DS evidence theory分类
军事科技引用本文复制引用
赵乙镔,邢晓辰..融合神经网络与证据理论的发射场试验信息处理方案设计[J].兵工自动化,2015,(9):26-28,3.
