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遗传BP网络在机载雷达故障诊断中的应用研究
引用本文:肖治平,吴文全,曾洋.遗传BP网络在机载雷达故障诊断中的应用研究[J].计算机测量与控制,2011,19(1).
作者姓名:肖治平  吴文全  曾洋
作者单位:1. 海军工程大学,电子工程学院,湖北,武汉,430033
2. 海口市92830部队,海南,海口,571122
摘    要:对遗传算法优化的BP神经网络在某型机载雷达发射机中故障诊断应用进行了研究,目的是应用遗传算法的全局最优性解决BP神经网络容易陷入局部极小的问题,从而提高BP神经网络的学习速度和精度.通过MATLAB仿真,GA-BP神经网络在发射机故障诊断中网络训练收敛速度和误差精度都明显优于BP网络,进一步验证了遗传BP神经网络学习速度快、预测精度高、泛化效果好,很适合应用于雷达等电子设备的故障诊断.

关 键 词:遗传BP神经网络  机载雷达  发射机  故障诊断

Research on Application of GA-BP Neural Networks in Fault Diagnosis of Airborne Radar
Xiao Zhiping,Wu Wenquan,Zeng Yang.Research on Application of GA-BP Neural Networks in Fault Diagnosis of Airborne Radar[J].Computer Measurement & Control,2011,19(1).
Authors:Xiao Zhiping  Wu Wenquan  Zeng Yang
Affiliation:Xiao Zhiping1,Wu Wenquan1,Zeng Yang2(1.College of Electronic,Engineering Navy University of Engineering,Wuhan 430033,China,2.No.92830 Unit of PLA,Haikou 571122,China)
Abstract:This paper has a research on the application of GA-BP neural networks in fault diagnosis of a type of airborne radar.BP neural networks is likely to fall into the local minimum points which can be overcome by the global optimizing character of genetic algorithm.Take full use of the global optimization of genertic algorithm can improve the learning speed and precision of BPNN.The simulation with MATLAB further validates that GA-BPNN have the faster learning speed,higher prediction precision and better genera...
Keywords:GA-BP neural networks  airborne radar  transmitter  fault diagnosis  
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