By using some road traffic noise measured data, a model of neural network for road traffic noise prediction was established.

本文通过分析影响公路交通噪声的各种因素，并利用实测样本数据，建立了一个公路交通噪声预测的神经网络模型。

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Through comparing various domestic and international traffic noise prediction models, a revised forecast model was selected to predict theoretical noise value.

在比较国内外各种道路交通噪声预测模型特点的基础上，选择了一种修正预测模型，预测出理论噪声值。

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Now the FHWA model used in traffic noise prediction get the number and type of vehicles by artificial way, the labor cost is high and the statistical value often not very accuracy.

目前交通噪声预测使用的FHWA模型在实际应用以人工方式来统计通过的车辆数和车型，人工成本高，统计值容易产生偏差。

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