A Radar Fault Prediction Based on LM-BP Neural Network

被引：1
|
作者：
Liu, S. H. [1 ]
Bi, Z. J. [1 ]
Zhang, W. [1 ]
机构：
[1] AFEWA, Dept Land Based Early Warning Equipment, Wuhan 430019, Peoples R China
来源：
INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4 | 2013年 / 241-244卷
关键词：
LM-BP neural network; radar maintenance support; fault prediction;
D O I：
10.4028/www.scientific.net/AMM.241-244.293
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to overcome the difficulty of modem radar fault prediction, which induced by the complexity of system compose, fuzziness of configuration connection and incompletely and uncertainty of character parameters, a LM-BP neural networ model is studied based on BP neural networ model and LM optimized algorithm to optimize the network error function and increase the prediction precision of this model. The simulation and analysis are finished using a radar fault prediction example and show validity the of this model.
引用
收藏
页码：293 / 297
页数：5
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