摘要
给出了一种解决一类复杂系统辨识问题的方法。先用正交试验安排好实验过程,然后采用基于遗传算法的神经网络实现对系统的辨识。本文通过辨识S195柴油机排气噪声规律方程的例子,证明了这种方法不失为解决此类问题的一种有效方法。
A method of complex system identification is presented. The paper arranges the test by orthogonal experiment ,and then realizes the system identification by using a neural network based on GA. In the end, it gives an example of identifying the relationship among the factors of exhaust noise on engine S195 to prove that this method is effective and precise.
出处
《华东船舶工业学院学报》
2002年第5期33-37,共5页
Journal of East China Shipbuilding Institute(Natural Science Edition)
