| 神经网络在导弹贮存可靠性预测中的应用 |
| |
| 引用本文： | 陈海建,滕克难,李波,顾钧元.神经网络在导弹贮存可靠性预测中的应用[J].弹箭与制导学报,2010,30(6). |
| |
| 作者姓名： | 陈海建 滕克难 李波 顾钧元 |
| |
| 作者单位： | 1. 海军航空工程学院,山东烟台,264001
2. 军事交通运输研究所,天津,300161 |
| |
| 摘 要： | 为了更准确预测导弹贮存可靠性,提出基于全局逼近BP网络和局部逼近RBF网络对导弹贮存可靠性进行预测,给出了预测的基本步骤,分别基于BP网络和RBF网络对某型舰舰导弹的贮存可靠性进行了预测,结果表明:这两种网络都能够解决导弹贮存可靠性预测的问题,预测误差均满足要求;RBF网络预测精度略高于BP网络,具有更好的函数逼近能力。RBF网络更适用于导弹贮存可靠性的预测。
|
| 关 键 词： | 导弹贮存 贮存可靠性 神经网络 反向传播网络 径向基函数网络 预测 |
Application of Neural Network on Missile Storage Reliability Forecasting |
| |
| CHEN Haijian,TENG Kenan,LI Bo,GU Junyuan.Application of Neural Network on Missile Storage Reliability Forecasting[J].Journal of Projectiles Rockets Missiles and Guidance,2010,30(6). |
| |
| Authors: | CHEN Haijian TENG Kenan LI Bo GU Junyuan |
| |
| Affiliation: | CHEN Haijian1,TENG Kenan1,LI Bo2,GU Junyuan1 (1Naval Aeronautical , Astronatical University,Sh,ong Yantai 264001,China,2Institute of Military Transportation,Tianjin 300161,China) |
| |
| Abstract: | To get better effect of missile storage reliability forecasting,the paper put forward a method based on neural network, and discussed steps of forecasting based on back propagation network and radial basis function network.At last,the storage reliability of one type ship-to-ship missile was forecasted based on BP network and RBF network.The result was suggested that both of the BP and RBF are suitable for Missile storage reliability forecasting,and the precision of the train goal is better by using RBF netw... |
| |
| Keywords: | missile strorage storage reliability neural network back propagation network radial basis function network forecasting |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
