Comparison of ANN and Analytical Models in Traffic Noise Modeling and Predictions
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comparison of ANN and Analytical Models in Traffic Noise Modeling and Predictions
Authors
Keywords
Traffic noise, Artificial neural network (ANN), Equivalent continuous sound level, <span class=InlineEquation id=IEq3>(L_mathrm{Aeq})
Journal
Acoustics Australia
Volume 43, Issue 2, Pages 179-189
Publisher
Springer Nature
Online
2015-07-08
DOI
10.1007/s40857-015-0018-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Long-term versus short-term noise monitoring: Strategies and implications in India
- (2015) N. Garg et al. NOISE CONTROL ENGINEERING JOURNAL
- Applications of AutoRegressive Integrated Moving Average (ARIMA) approach in time-series prediction of traffic noise pollution
- (2015) N. Garg et al. NOISE CONTROL ENGINEERING JOURNAL
- Vehicular traffic noise modeling using artificial neural network approach
- (2014) Paras Kumar et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Development of a traffic noise prediction model for an urban environment
- (2014) Asheesh Sharma et al. Noise & Health
- Evaluation and analysis of traffic noise along bus rapid transit system corridor
- (2013) R. K. Mishra et al. International Journal of Environmental Science and Technology
- Optimized height of noise barrier for non-urban highway using artificial neural network
- (2013) K. Kumar et al. International Journal of Environmental Science and Technology
- Use of back-propagation neural networks to predict both level and temporal-spectral composition of sound pressure in urban sound environments
- (2012) Antonio J. Torija et al. BUILDING AND ENVIRONMENT
- A method of developing regional road traffic noise management strategies
- (2010) Daniel Naish APPLIED ACOUSTICS
- Comprehensive approach for the development of traffic noise prediction model for Jaipur city
- (2010) Sheetal Agarwal et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- A basic neural traffic noise prediction model for Tehran’s roads
- (2010) Sh. Givargis et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- A neural network based model for urban noise prediction
- (2010) N. Genaro et al. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
- The development of a practical framework for strategic noise mapping
- (2009) E.A. King et al. APPLIED ACOUSTICS
- A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile
- (2008) Luis A. Díaz-Robles et al. ATMOSPHERIC ENVIRONMENT
- Road Traffic Noise Prediction Model under Interrupted Traffic Flow Condition
- (2008) H. N. Rajakumara et al. ENVIRONMENTAL MODELING & ASSESSMENT
- Prediction of hourly air pollutant concentrations near urban arterials using artificial neural network approach
- (2008) Ming Cai et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More