GA-BP神经网络在伺服系统辨识中的应用

Identification of Servo System Based on GA-BP ANN

针对BP算法在系统辨识应用中的不足,提出了一种基于遗传算法(GA)的BP神经网络建模方法。该算法充分利用了遗传算法和BP算法各自的优点。采用该算法完成了具有复杂非线性的某伺服系统的建模工作。实验结果表明了该算法的有效性。

For the shortage of BP neural network algorithm in identification of Servo System,this paper introduces a method for identification based on GA-BP.The algorithm has full advantages of genetic algorithm and BP algorithm.The method is used to settle the modeling problem of the Servo System with complex non-linear characteristics.The experimental results show that this method is effective.