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.
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.
出处
《佳木斯大学学报(自然科学版)》
CAS
2005年第1期50-52,共3页
Journal of Jiamusi University:Natural Science Edition
关键词
RBF神经网络
BP神经网络
跳频信号
预测
RBF neural network
BP neural network
frequency-hopping signal
prediction