基于BP神经网络模型的道路交通噪声预测

Prediction of Traffic Noise Based on Neural Network

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。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。且将其与实际数据相比较,发现神经网络模型的预测值准确度很高。该模型为公路交通噪声的预测、治理和控制提供了良好的条件。

By using some road traffic noise measured data, a model of neural network for road traffic noise prediction was established. 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. The prediction results are veracious contrast with the true data. The model provides condition for predicting , administering and controlling traffic noise.