非线性BP算法在系统辨识中的应用

Application of NBP Algorithm in System Identification

研究利用非线性 BP算法训练多层前馈神经网络 ,对非线性动力系统进行建模 ,给出了基于非线性 BP算法的系统辨识计算步骤 .通过仿真计算表明 ,基于非线性 BP算法的系统辨识至少可以获得与常规 BP算法同样的效果 .因为不需要计算神经元激活函数的导函数 。

The problem of how to identify the nonlinear dynamic process using multilayer feedforward NN, trained by nonlinear BP algorithm, is investigated. The procedure of the identification method based on NBP networks is also given. Simulation results show that the performance of the model obtained with NBP network is at least as good as the normal BP network. Since NBP algorithm avoids computations of the derivative of neurons' activations, the results can be utilized to design NN based controllers at less cost than those based on normal BP.