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基于RBF神经网络的雷达网抗干扰效果评估

胡然 刘东玉 唐忠 张金强

舰船电子工程2012,Vol.32Issue(9):76-78,3.
舰船电子工程2012,Vol.32Issue(9):76-78,3.

基于RBF神经网络的雷达网抗干扰效果评估

Effectiveness Evaluation of the Anti-jamming of Radar Net Based on RBF Neural Network

胡然 1刘东玉 1唐忠 1张金强1

作者信息

  • 1. 中国人民解放军63892部队,洛阳471003
  • 折叠

摘要

Abstract

Based on analyzing anti-jamming evalution index of Radar net and an index system of effectiveness evaluation is set up, a RBF neural network is established. These test samples are used to train the RBF neural networks. In the end, the RBF neural network is used to evaluate the effectiveness of anti-jamming of radar ne,the result shows that the model of the effectiveness of anti-jamming of radar net based on RBF neural network has advantages of practicability and feasibility.

关键词

RBF神经网络/雷达网/效果评估

Key words

RBF neural network/radar net/effectiveness evaluation

分类

信息技术与安全科学

引用本文复制引用

胡然,刘东玉,唐忠,张金强..基于RBF神经网络的雷达网抗干扰效果评估[J].舰船电子工程,2012,32(9):76-78,3.

舰船电子工程

1672-9730

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