Modeling environmental noise using artificial neural networks

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

Volumn , Issue , 2009, Pages 215-219

  Genaro, N ^a   Torija, A ^a   Ramos, A ^a   Requena, I ^a   Ruiz, D P ^a   Zamorano, M ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Environmental noise; Neural networks; Noise prediction; Urban noise

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL NOISE; INDUSTRIALIZED COUNTRIES; LOCAL REGULATIONS; NOISE LEVELS; NOISE PREDICTIONS; RESEARCH STUDIES; SOFTCOMPUTING TECHNIQUES; URBAN NOISE; WORLD HEALTH ORGANIZATION;

ACOUSTIC NOISE MEASUREMENT; FORECASTING; INTELLIGENT SYSTEMS; LAWS AND LEGISLATION; MATHEMATICAL MODELS; SOFT COMPUTING; UNDERGROUND STRUCTURES;

NEURAL NETWORKS;

EID: 77949573606     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2009.179     Document Type: Conference Paper

References (37)

1. Aguilera de Maya, J.L. Método de predicción de ruido urbano basado en Teoría Fuzzy" ("Fuzzy Theory based Prediction Method"), (XXVIII Jornadas Nacionales de Acústica y Encuentro Ibérico Acústica. - XXVIII National Conference and Iberian Meeting on Acoustics - 1997).
2. Avsar, Y., Saral, A., Gonullu, M.T., Arslankaya, E., Kurt, U. Neural Network Modelling of Outdoor Noise Levels in a Pilot Area, (Turkish Journal of Engineering and Environmental Sciences 28, 149-155. 2004).
3. Berg, T. Classification of environmental noise by means of neural networks, (Trondhein. Norway. Forum Acusticum, Sevilla. 2002).
4. Beritelli, F.; Casale, S.; Ruggeri, G. New Results in Fuzzy Pattern Classification of Background Noise, (5th International Conference on Signal Processing Proceedings, 3, 1483-1486. 2000).
5. Betkowsa, A.; Shinoda, K.; Furui, S. Model Optimization for Noise Discrimination in Home Environment, (Symposium on Large-Scale Knowledge Resources, Tokyo, Japan, 167-170. 2005).
6. Botteldooren D.; Verkeyn A.; De Cock, M. Kerre, Generating Membership functions for a Noise Annoyance Model from Experimental Data, (Soft computing in measurement and information acquisition, Studies in Fuzziness and Soft Computing 127, 51-67. 2003).
7. Botteldooren, D.; Verkeyn A. Fuzzy models for accumulation of reported community noise annoyance from combined sources, (J. Acoust. Soc. Am. 112, 1496-1508. 2002).
8. Botteldooren, D.; Verkeyn A. "An iterative fuzzy model for cognitive processes involved in environment quality judgement". (Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002).
9. Botteldooren, D.; Verkeyn A.; Cornelis, C., De Cock, M. On the meaning of noise annoyance modifiers: A Fuzzy Set Theoretical Approach, (Acta Acustica united with Acustica 88, 239-251. 2002).
10. Botteldooren, D.; Verkeyn A.; Lercher, P. A fuzzy rule based framework for noise annoyance modelling, (J. Acoust. Soc. Am. 114, 1487- 1498. 2003).
11. Botteldooren, D.; Verkeyn A.; Lercher, P. Noise annoyance modelling using fuzzy rule based systems, (Noise Health 4, 27-44. 2002).
12. Botteldooren, D.; Verkeyn A. Aggregation of specific noise annoyance to a general noise annoyance rating: a fuzzy model, (Proceedings of the 9th International Congress on Sound and Vibration, Orlando, Florida, USA. 2002).
13. Botteldooren, D.; Verkeyn, A. Fuzzy modelling of traffic noise annoyance, Joint 9th IFSA -International Fuzzy Systems Association- World Congress and 20th NAFIPS -North American Fuzzy Information Processing Society- International Conference 2, 1176-1181. 2001).
14. Botteldooren, D.;Verkeyn A. The effect of Land-Use variables in a Fuzzy Rule Based Model for Noise Annoyance, (International Congress and Exposition on Noise Control Engineering. Dearborn, MI, USA, 2002).
15. Cammarata, G.; Cavalieri, S.; Fichera, A. A Neural Network Architecture for Noise Prediction, (Neural Networks, 8(6), 963-973. 1995).
16. Caponetto, R.; Lavorgna, M.; Martinez, A.; Occhipinti, L., GAS for fuzzy modeling of noise pollution, (First International Conference on Knowledge-Based Intelligent Electronic Systems, 219-223. 1997).
17. Couvreur, C.; Fontaine, V.; Gaunard; P.; Mubikangiey, C.G., Automatic Classification of Environmental Noise Events by Hidden Markov Models, (Applied Acoustics, 54(3), 187-206, 1998).
18. Couvreur, L.; Laniray, M. Automatic Noise Recognition in Urban Environments Based on Artificial Neural Networks and Hidden Markov Models, (The 33rd International Congress and Exposition on Noise Control Engineering. Inter-noise, Prague. 2004).
19. Detailed French Model. Guide du Bruit. Préliminaires aux études de bruit : Partie II - Preliminary studies sound: Part II- , (1991).
20. Directive 2002/49/EC of the European Parliament and of the Council of 25 June 2002 relating to the assessment and management of environmental noise, (OJ L 189, 7/18/2002, 12 - 25).
21. Dia H., An object-oriented neural network approach to short-term traffic forecasting, (European Journal of Operational Research. 131, 253-261. 2001).
22. Fortuna, L., Occhipinti, L., Vinci, C., Xibilia, M.G. A Neuro-Fuzzy model of Urban Traffic, (Circuits and Systems, Proceedings of the 37th Midwest Symposium. 1, 603 - 606. 1994).
23. Gaunard, P., Mubikangiey, C. G., Couvreur, C., Fontaine, V. Automatic classification of environmental noise events by Hidden Markov models, (Acoustics, Speech and Signal Processing. Proceedings of the 1998 IEEE International Conference 6,3609-3612. 1998).
24. González A. E.; Gaja Díaz E.; Jorysz A.; Torres G.. Desarrollo de un modelo predictivo de ruido urbano adaptado a la realidad de la ciudad de Montevideo, Uruguay" ("Development of a urban noise prediction model adapted to the city of Montevideo, Uruguay"), (Tecniacústica Madrid. II Jornadas Iberoamericanas de acstica. - Iberoamerican Symposium Acoustics - 2000).
25. Jang J.-S.R., ANFIS:adaptive-network-based fuzzy inference system, (IEEE Transactions on Systems, Man and Cybernetics 23, 665-685. 1993).
26. Kosko, B. Bidirectional associative memories, (IEEE Transactions on Systems, Man, and Cybernetics, SMC-17. 1987).
27. Ledoux C., An urban traffic flow model integrating neural network, (Transportation Research-C, 5(5), 287-300. Elsevier Science. 1997).
28. Ley 37/2003 del ruido, de 17 de noviembre. B.O.E. de 18 Noviembre de 2003. (Law 37/2003 of noise, 17th November 2003, Spain). http://www.ruidos.org/Normas/Ley 37 2003.html (date last viewed: 09/14/2009)
29. Ma, L.; Smith, D.J.; Miller, B.P., Context Awareness using Environmental Noise Classification, (Proceedings Eurospeech 2003, Geneva, Switzerland, 2237-2240, 2003).
30. Ministerio de Obras Públicas, Transportes y Medio Ambiente and Suárez Cardona, F. Guías metodológicas para la elaboración de estudios de impacto ambiental: Carreteras y ferrocarriles. Sec. Estado Políticas Agua y Medio Ambiente. (Department of Public Works, Transports and Environment: "Methodological Guide for the study of environmental impact: roads and railways". Water and Environment Policies State Department), MOPU -Ministerio de Obras Públicas, Transportes y Medio Ambiente-, Madrid. 1995).
31. Ordenanza Municipal de Protección del Medio Ambiente Acústico en Granada. 6 febrero 2001. (Local regulations for the protection of acoustic environment in Granada. 6th February 2001). http://www.ruidos.org/Normas/Ordenanzas/Ordenanza Granada.html (date last viewed: 09/14/2009).
32. Nordic Council of Ministers; Nielsen H. L., Nordic Prediction Method for Road Traffic Noise. Statens Planverk 96, (Nordic Countries. 1996).
33. Richtlinien für den Lärmschutz an Straben (RLS 90) - Guidelines for road noise -, (Bonn,Germany. 1990).
34. SGS - Thomson Microelectronics. Adaptive Fuzzy Modeller, http://www.tranzistoare.ro/datasheets2/92/92054 1.pdf (date last viewed 09/14/2009).
35. Torija, A.J.; Ruiz, D.P.; Ramos, A. Modelo Lineal Multivariante de predicción de descriptores de ruido en la ciudad de Granada. Uso del L50 para la descripción del ruido de tráfico rodado" ("Multivariant Linear Model for noise descriptors prediction in the city of Granada. The use of L50 for road traffic noise description"), (Tecnoacústica 2006. 37 Congreso Nacional de Acústica - National Congress on Acoustics -, EAA European Symposium on Hidroacoustics. Gandía, Spain. 2006).
36. Yin H., Wong S.C., Xu J., Wong C.K. Urban traffic flow prediction using a fuzzy-neural approach, (Transportation Research Part C: Emerging Technologies, 10(2), 85-98(14) 2002).
37. Zaheeruddin, Garima, A neuro-fuzzy approach for prediction of human work efficiency in noisy environment, (Applied Soft Computing, 6, 283-294, 2006).