文章基本信息

标题：Application of selected computational intelligence methods to sound level modelling based on traffic intensity in thoroughfare
本地全文：下载
作者：Michał Kekez
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2019
卷号：254
DOI：10.1051/matecconf/201925402038
语种：English
出版社：EDP Sciences
摘要：The aim of the paper was to build the models of sound pressure level as a function of traffic intensity in thoroughfare. The models were built by using artificial analytical models or regression trees. The former included Nordic Prediction Method. The latter were represented by Random Forest and Cubist. The analysis of accuracy of all obtained models was conducted. The best models can be used in the process of reconstruction of equivalent sound level data.
关键词：entraffic noisenordic prediction methodrandom forest