RBF神经网络在非线性滤波中的应用

Application of RBF neural network to nonlinear filtering

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.