id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_3sxzzd3jjneznfcxhrsajjc32i	Vladimir Nedic	Data mining with various optimization methods	2014	3	.pdf	application/pdf	1749	151	64	Road traffic represents the main source of noise in urban environments that is proven to significantly level in urban areas, it is very important to develop methods for modelling the road traffic noise. In this paper a novel approach for modelling traffic noise that is structure on the level of traffic noise is an important area of The first traffic noise prediction (TNP) models date back to early Since then large number of methods and models for traffic (Calculation of Road Traffic Noise) model (Quartieri et al., 2009), (2005) genetic algorithm was used to model the traffic noise genetic algorithms, Hooke and Jeeves algorithm, simulated annealing, and particle swarm optimization. genetic algorithms, Hooke and Jeeves algorithm, simulated annealing, and particle swarm optimization. All optimized models are tested on data measured on Serbian road using the equivalent sound pressure levels were measured for time period The equivalent sound pressure level is supposed to be modeled	./cache/work_3sxzzd3jjneznfcxhrsajjc32i.pdf	./txt/work_3sxzzd3jjneznfcxhrsajjc32i.txt