对现有的道路交通噪声预测的经验模型方法进行了评述，讨论了其不足之处。
This paper discusses the experiential model used in the current road traffic noise forecast and points out its drawback.
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。
Through comparing various domestic and international traffic noise prediction models, a revised forecast model was selected to predict theoretical noise value.
本研究在地理信息系统集成了交通噪声预测模型的基础上，设计和开发了基于地理信息系统的城市道路交通噪声预测系统。
The research integrates the prediction of traffic noise into the geography information system, and designs and develops the urban road traffic noise prediction system which is based on the GIS.
利用GM(1,1)模型对武汉市2008年前的道路交通噪声进行了预测。
Then using GM (1, 1) model, a predicting of Wuhan city road traffic noise condition prior to the year 2008 was made.
并运用该模型预测道路交通噪声的等效声级，把预测因子作为样本输入到网络模型，噪声等效声级作为样本输出。
Then use this model to predict equivalent continual sound level of road traffic noise, the fluence factors as the traffic flowing and the equivalent acoustic levels were output.
经检验，计算值与实测值接近，从而为道路交通噪声的预测提供了一种新的途径。
It is verified calculated value and actual results are close to each other, so it gives a new approach to predict traffic noise.
针对拉萨市道路交通噪声污染问题，运用人工神经网络理论和方法对拉萨市道路交通噪声的等效连续声级进行预测。
Aiming at the traffic noise problem of Lhasa, the author USES artificial neural network theory and method to predict the equivalent consecutive sound level of traffic noise in Lhasa.
针对拉萨市道路交通噪声污染问题，运用人工神经网络理论和方法对拉萨市道路交通噪声的等效连续声级进行预测。
Aiming at the traffic noise problem of Lhasa, the author USES artificial neural network theory and method to predict the equivalent consecutive sound level of traffic noise in Lhasa.
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