摘要
提出了一种非线性滤波的解决方案———RBF神经网络 .比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异 .应用MATLAB针对有随机噪声的信号做仿真滤波实验 ,证明该理论的可行性与优越性 .
A scheme using the RBF neural network to tackle nonlinear filtering is presented. It makes a comparison of the performance differences of the BP neural network and the RBF neural network in nonlinear filtering. Filtering simulation is carried out to a signal with random noise through the application of MATLAB, computer simulation verifies the practicability and the superiority of the theory.
出处
《大庆石油学院学报》
CAS
北大核心
2004年第4期81-83,共3页
Journal of Daqing Petroleum Institute
