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基于RBF神经网络的跳频信号频率预测的研究
引用本文:张秀艳 陶国彬. 基于RBF神经网络的跳频信号频率预测的研究[J]. 佳木斯大学学报, 2005, 23(1): 50-52
作者姓名:张秀艳 陶国彬
作者单位:大庆石油学院电气信息工程学院,大庆石油学院电气信息工程学院 黑龙江大庆163318,黑龙江大庆163318
摘    要:提出了一种跳频信号频率预测的解决方案——RBF神经网络.比较了BP神经网络和RBF神经网络在跳频信号频率预测中的性能差异.应用MATLAB针对一伴有随机噪声的信号进行了仿真实验,证明了该理论的可行性与优越性。

关 键 词:RBF神经网络 BP神经网络 跳频信号 预测
文章编号:1008-1402(2005)01-0050-03
修稿时间:2004-09-11

RESEARCH ON PREDICTING FREQUENCY- HOPPING SIGNALS BASED ON THE RBF NEURAL NETWORK
ZHANG Xiu-yan,TAO Guo-bin. RESEARCH ON PREDICTING FREQUENCY- HOPPING SIGNALS BASED ON THE RBF NEURAL NETWORK[J]. Journal of Jiamusi University(Natural Science Edition), 2005, 23(1): 50-52
Authors:ZHANG Xiu-yan  TAO Guo-bin
Abstract:A solving plan of prediction of frequency-hopping signals -the RBF neural network is presented. It makes a comparison of the performance differences of the BP neural network and the RBF neural network in predicting frequency-hopping signals. Simulation is carried out to a signal with random noise through the application of MATLAB, which verifies the practicability and the superiority of the theory.
Keywords:RBF neural network  BP neural network  frequency-hopping signal  prediction
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