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Application of Grey Neural Network in Vehicle Vibration Prediction

机译:灰色神经网络在车辆振动预测中的应用

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摘要

Considering the theoretical characteristics of grey system method and neural network, a grey neural network prediction method was proposed by combining the grey prediction model and the neural network in order to improve the accuracy of vehicle vibration prediction. On the purpose of verifying the proposed model, the vibration data of several measuring points under different traveling speed of a pick-up truck were both tested in an experimental way and predicted in a theoretical way. The results show that it is feasible to apply the proposed grey neural network prediction method to calculate the vehicle vibration data, which improves the prediction accuracy effectively.
机译:结合灰色系统方法和神经网络的理论特点,提出了一种灰色神经网络预测方法,将灰色预测模型和神经网络相结合,以提高车辆振动预测的准确性。为了验证所提出的模型,以实验的方式测试了皮卡在不同行驶速度下的几个测量点的振动数据,并从理论上对其进行了预测。结果表明,将本文提出的灰色神经网络预测方法应用于车辆振动数据的计算是可行的,有效地提高了预测精度。

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