The prediction of reverberation time using neural network analysis

Applied Acoustics

Volumn 58, Issue 3, 1999, Pages 305-325

  Nannariello, Joseph ^a   Fricke, Fergus ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000910370     PISSN: 0003682X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0003-682X(98)00081-4     Document Type: Article

References (53)

1. Sabine WC. Collected papers on acoustics. Dover, 1964, NY, (reprint).
2. Beranek LL. Audience and seat absorption in large halls. J Acoustical Society of America, 1960;32(6):661-71.
3. Eyring Carl F. Reverberation time in 'dead' rooms. J Acoustical Society of America 1930;I:217-41.
4. Fitzroy D. Reverberation formula which seems to be more accurate with nonuniform distribution of absorption. J Acoustical Society of America 1959;31:893-7.
5. Kosten CW. New method for the calculation of the reverberation time of halls for public assembly Acustica 1957/1966;16(6):325-30.
6. Beranek LL. Concert and opera halls: how they sound, Acoustical society of America, 1996. NY.
7. Gomperts MC. Do the classical reverberation formulae still have a right for existence? Acustica 1965/1966;16(5):256-68.
8. Schroeder MR. Computer models for concert hall acoustics. AJP 1973;41:461-71.
9. Bolt RH. Architectural acoustics - a review of this century. In: Mackenzie R, editor. Auditorium acoustics. London: Applied Science. p. 13-20.
10. Day B. Acoustic scale modelling materials. In: Mackenzie R, editor. Auditorium Acoustics, London: Applied Science. p. 87-99.
11. Jordan VL. Room acoustics and architectural acoustics development in recent years. Applied Acoustics 1969;2:59-81.
12. Krokstad A, Strøm S, Sørsdal S. Fifteen years experience with computerised ray tracing. Applied Acoustics 1983;16(4):291-312.
13. Marshall AH. Recent developments in acoustical design process. Applied Acoustics 1990;31:7-28.
14. Naylor GM, Rindel JH. ODEON room acoustics program version 2.5 User manual. Publication 49. The Acoustics Lab., Technical University of Denmark, 1994.
15. Brook R. Rooms for speech and music, In: Ballou G, editor. Handbook for sound engineers, the new audio cyclopedia, 2nd ed. Howard W. Sams & Company, 1991 [chapter 7]. Carmel, Indiana.
16. Kuttruff KH. Room acoustics. 3rd ed. Elsevier Science, 1991. London.
17. Hammerstrom D. Working with neural networks. IEEE Spectrum 1993;34(7):46-53.
18. Hegazy T, Fazio P, Moselhi O. Developing practical neural network applications using back-propagation. Microcomputers in Civil Engineering 1994;9:145-59.
19. Lippmann RP. An introduction to computing with neural nets. IEEE ASSP Magazine 1987;April:4-22.
20. Simpson PK. Artificial neural systems: foundations, paradigms, applications, and implementations. New York: Pergamon Press, 1990.
21. Haykin S. Neural networks: a comprehensive foundation. New York: Macmillan, 1994.
22. Biedermann JD. Representing design knowledge with neural networks. Microcomputers in Civil Engineering 1997;12:277-85.
23. Gunaratnan DJ, Gero JS. Effect of representation on the performance of neural networks in structural engineering 22. Applications. Microcomputers in Civil Engineering 1994;9:97-108.
24. Messner JI, Sanido VE, Kumara SRT. StuctNet: a neural network for structural system selection. Microcomputers in Civil Engineering 1994;9:109-18.
25. VanLuchene RD, Sun R. Neural networks in structural engineering. Microcomputers in Civil Engineering 1990;5(3):207-15.
26. Haan, ChanHoon. Geometry as a measure of the acoustic quality of auditoria. PhD. thesis, Department of Architectural and Design Science, The University of Sydney, 1993.
27. Fricke RF. Haan, ChanHoon. Predicting the acoustic of concert halls using an artificial neural network. Acoustics Australia 1995;23(3):87-95.
28. Fricke RF. Young Gon Han. A neural network analysis of concert hall acoustics. Proceedings of the 16th International Congress on Acoustics, 20-26 June 98, Seattle (WA). 2133-4.
29. Nannariello J, Ficke RP. The prediction of reverberation time using neural network analysis. Proceedings of the 16th International Congress on Acoustics, 20-26 June 1998, Seattle (WA). 2745-6.
30. Barron M. Auditorium acoustics and architectural design. London: E & FN Spon, 1993.
31. Beranek LL. Music, acoustics and architecture. New York: John Wiley.
32. Lubman D, Weterill EA. Acoustics of worship spaces. American Institute of Physics for the Acoustical Society of America, 1983. NY.
33. McCue E, Talaske RH. editors. Acoustical design of music educational facilities. American Institute of Physics for the Acoustical Society of America, 1989. NY.
34. Talaske RH, Boner RE. editors. Theatres for drama performance: recent experiences in acoustical design. American Institute of Physics for the Acoustical Society of America, 1985. NY.
35. Talaske RH, Wetherill EA, Cavanaugh WJ. Halls for music performance: two decades of experience 1962 to 1982. American Institute of Physics for the Acoustical Society of America, 1982. NY.
36. Beranek LL. Acoustics. New York: McGraw-Hill, 1954. p. 285-324.
37. Doelle LL. Environmental acoustics. New York: McGraw-Hill p. 23-120.
38. Egan MD. Architectural acoustics. New York: McGraw-Hill. p. 37-170.
39. Foreman JEK. Sound analysis and noise control. New York: Van Nostrand Reinhold, p. 110-63.
40. Sabine HJ, Moulder R. Sound absorptive materials. In: Harris CM, editor. Handbook of noise control, New York: McGraw-Hill (chapter 21).
41. Nannariello J. The prediction of reverberation time using neural network analysis. Dissertation for Master of Design Science (Hons.), The University of Sydney, 1997.
42. Lawrence M, Petterson A. BrainMaker professional: simulated biological intelligence. A neural network simulated software user's guide and reference manual. California Scientific Software, 1993. Nevada City.
43. White H. Neural-network learning and statistics. AI Expert 1989;December:48-52.
44. Caudill M. Neural network training tips and techniques. AI Expert, 1991;January: p. 56-61.
45. Crooks T. Care and feeding of neural networks. AI Expert, July 1992;36-41.
46. Lawrence J. Data preparation for a neural network. AI Expert 1991;6(11):34-41.
47. Stein R. Selecting data for neural networks. AI Expert 1993;8(2):42-7.
48. Nelson MM, Illingworth WT. A practical guide to neural nets. Addison-Wesley, 1991. NY.
49. Lawrence J. Introduction to neural networks (design, theory and applications). 6th ed. California Scientific Software, 1994. Nevada City.
50. Bishop CM. Neural networks for pattern recognition. Oxford: Oxford University Press.
51. Burd NB. Acoustic modelling - design tool or research project. In: Mackenzie R, editor. Auditorium acoustics, London: Applied Science. p. 73-85.
52. Rindel JH, Naylor GM. ODEON - A hybrid computer model from acoustic modelling. Western Pacific Regional Acoustics Conference, Brisbane, 26-28 November 1991. p. 95-102.
53. Touretzky D, Pomerleau D. What's hidden in the hidden layers? BYTE. 1989;August:227-33.