油气减振器非线性特性的神经网络识别研究

Identification of Nonlinear Characteristics of Hydragas Using Neural Networks

用神经网络的非线性逼近能力 ,设计了用于识别油气减振器非线性特性的结构化神经网络模型 ,并介绍了该模型的具体应用方法 ,即利用试验数据组成学习样本 ,对网络模型进行训练 ,识别出其非线性特性。识别结果表明 ,结构化神经网络可有效地识别油气减振器的非线性特性。

Based on the characteristics of neural networks, a structural neural networks model was designed to identify the nonlinear characteristics of hydragas in the paper. The identification method of nonlinear characteristics was also introduced. With the test data of one type hydragas as studying samples, the neural network model was trained and the nonlinear characteristics was identified. The results showed that the structural neural network was a valid method to identify the model of hydragas.