BP人工神经网络模型在拉萨道路交通噪声预测中的应用

Model of Neural Network for Road Traffic Noise Prediction of the Urban Area in Lhasa City

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。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。

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. It is verified calculated value and actual results are close to each other, so it gives a new approach to predict traffict noise.