噪声与振动控制Issue(3)：184-187,4.DOI:10.3969/j.issn.1006-1335.2013.03.042
新息累积GM（1，N）模型在交通噪声预测中的应用
Application of New-information Accumulative GM (1, N) Model to Traffic Noise Prediction
摘要
Abstract
Based on the traditional grey GM (1, N) model, the grey correlation analysis was used to determine the relation of the related factors. With the theory related to accumulative methodology, the parameter identification of the grey GM (1, N) model was carried out. The multifactor grey GM (1, N) simulation model was built up. On this basis, using the latest information and new information idea, the grey GM(1,N) forecast model was established. This model was then applied to the simulation and forecast of the traffic noise of Beijing and a city in south China, respectively. The result shows that the simulation precision of the new-information accumulative grey GM (1, N) model is high. Its mean relative error of prediction is lower than that of the traditional grey GM (1, N). The prediction of traffic noise of the two cities shows that the noise value will basically remain stable in the next two years.关键词
声学/累积法/GM(1,N)模型/噪声预测Key words
acoustics/accumulative methodology/GM (1, N) model/noise prediction分类
资源环境引用本文复制引用
..新息累积GM（1，N）模型在交通噪声预测中的应用[J].噪声与振动控制,2013,(3):184-187,4.基金项目
国家自然科学基金（基金号10632040）理学院自由探索计划 （）
