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Prediction and Study on the Influence of Propeller Shaft to Vehicle Noise Based on BP Neural Network

机译:基于BP神经网络的螺旋桨轴对车辆噪声影响的预测与研究

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Propeller shaft is one of main sources to arouse vehicle noise. To decrease development cost and shorten development cycle, BP Neural Network model of influence of propeller shaft to vehicle noise was established using MATLAB software, combined with historical data. Then, the model was trained, results showed that it was stable and credible and the error of this model was between -4 and 4, which could be acceptable. Last, noise of the developing vehicle in the company was predicted using the model, offering theoretical reference to related people.
机译:螺旋桨轴是用于引起车辆噪音的主要来源之一。为了减少开发成本和缩短开发周期,使用MATLAB软件建立了螺旋桨轴对车辆噪声影响的BP神经网络模型,与历史数据相结合。然后,培训该模型,结果表明它是稳定和可信的,并且该模型的误差在-4和4之间,这可能是可接受的。最后,使用该模型预测了该公司开发车辆的噪音,为相关人员提供了理论引用。

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