摘要
神经网络具有很强的预测功能。根据石家庄公路交通噪声的实测数据,利用L-M优化算法的多层神经网络预测模型进行道路交通噪声的预测,经检验,计算值与实测值接近,预测精度令人满意。
Neural network is powerful in prediction. Based on the traffic noise data measured at a highway of ShiJiaZhuang, the traffic noise levels were predicted with the predicting model of L - M optimizing algorithm with multilevel neural network. It is proved that the predicted data are in agreement with measured data well, the predicting precision is satisfactory.
出处
《中国环境监测》
CAS
CSCD
北大核心
2009年第4期84-87,共4页
Environmental Monitoring in China
基金
河北省教育厅自然科学基金(z2008447)
河北师范大学青年基金(L2007Q13)
关键词
神经网络
交通噪声预测
L—M优化算法
Neural network
Traffic noise prediction
L- M optimizing algorithm
