• 关键词：神经网络  交通噪声预测  反向传播算法

• 基金项目：

• 张继萍
• 浙江省环科院, 杭州　310007

• 吴硕贤
• 浙江大学建筑系, 杭州　310007

• 摘要：人工神经网络具有很强的预测功能。根据某公路交通噪声的实测数据,应用人工神经网络进行道路交通噪声的预测,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。

• Abstract：Artificial neural network is powerful in prediction. Based on the traffic noise data measured at a highway, the traffic noise levels were predicted with an artificial neural network. It is proved that the predicted data are in agrement with measured data well. Therefore, artificial neural network provides a new way for traffic noise prediction.

• Key words：neural network  traffic noise prediction  back propagation algorithm 

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