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Neural Network Applications Research Unit

The Neural Network Applications Research Unit was established in 1998 under the Strategic Initiative Development Fund Scheme of the Faculty of Architecture. The Unit conducts a unit of study titled "Neural Network Models and Applications" for both coursework and research postgraduate students. During the last five years, the Unit, in collaboration with two other organizations, has attracted approximately $850,000.00 in ARC research grants for neural network and soft computing based research.

Research Grants

  • 1. Faculty of Architecture Strategic Development Fund 1998 $ 14,500.00
  • 2. ARC Small Grant 1999 $ 16,000.00
    "A Generalized Neural Network Approach for Encoding
    Building Design and Evaluation Knowledge"
  • 3. ARC Small Grant 2000 $ 20,000.00
    "Enhanced Learning of High-level Design Relationships
    Using Soft Computing Techniques"
  • 4. ARC Small Grant 2000 (with Civil Engineering} $ 24,000.00
    "Intelligent Project Management Information System"
  • 5. ARC Large Grant 2001 (2001 – 2003) (with Civil Engineering) $195,000.00
    "Intelligent Project Management Information System"
  • 6.ARC SPIRT Grant 2001 (2001 – 2003) (with National Voice Centre $317,723.00
    and Australian Opera)
    "Maintaining Vocal Excellence in the Opera Chorus"
  • 7.ARC Small Grant 2001 (with Civil Engineering) $ 25,000.00
    "Modelling Community Perceptions of Capital Projects
    Using Soft Computing Techniques"
  • 8. ARC Discovery Grant 2004 (2004 - 2006) (with Civil Engineering) $257,466.00
    "Management of Complex Assets Using Smart Information Systems".

Research Projects

  • Developing Concise Models and High-level Design Relationships for Physical Systems Using Soft Computing Techniques
  • Intelligent Project Management Information System (with Civil Engineering)
  • Modelling Community Perceptions of Capital Projects Using Soft Computing Techniques (with Civil Engineering)
  • Maintaining Vocal Excellence in Opera Chorus (with National Voice Centre and Australian Opera)
  • Neural Network Model for Early Detection of Glaucoma using Multi-focal Visual Evoked Potential (with Save Sight Institute)

PhD Projects

  • Joseph Nannariello PhD 2001 – "Prediction of Acoustic Parameters in Large Rooms Using Neural Network Analysis"
  • Chan Hoon Haan PhD 1993 – "Geometry as a Measure of the Acoustic Performance of Auditoria"
  • Susan M Rebano PhD 2001 – "Development of a Computer-based Model for Tropical Building Performance Evaluations"

MDesSc Projects

Jill Coomes MDesSc(Build) 1999 – "The Prediction of Transmission Loss in Walls Using Neural Network Analysis"

Young Gon Han MDesSc 1997 – "Acoustic Design of Auditoria Using Neural Network Analysis"

Joseph Nannariello MDesSc(Build) 1997 – "The Prediction of Reverberation Time Using Neural Network Analysis"

Students and Projects

Riduan Osman, PhD, Predicting the Acoustic Quality of Small Music Rooms

Young-ji Choi, PhD, Concert Hall Acoustic Design

Yoon Hee Kim, M Phil, Predicting the RT of Small Rooms Using NNA

Sang Kun Kim, M Phil, Predicting Room Impulse response Functions Using

Other work in Progress

Joseph Nannariello, Sick Building Syndrome Predictions

Fergus Fricke, Low Frequency Transmission Loss Performance of Walls

Publications

1. GUNARATNAM, D.J. & GERO, J.S.(1991). High-level relationships for structural design: the effect of representation in learning, in: 1991 ANZAScA Conference Proceedings, Woodbury, G.(Ed), Australian & New Zealand Architectural Science Association, The University of Adelaide, pp. 127 - 134.

2. HAAN C.H. & FRICKE F.R., (1992) Statistical Investigation of Geometrical Parameters for the Acoustic Design of Auditoria, Applied Acoustics, 35,105-127.

3. GUNARATNAM, D.J. & GERO, J.S.(1993). Neural network learning in structural engineering applications, Proceedings of the ASCE Fifth International Conference on Computing in Civil and Building Engineering, Anaheim, California, Vol 2, pp 1448 - 1455.

4. HAAN, C.H. & FRICKE, F.R.(1993), Surface Diffusivity as a Measure of the Acoustic Quality of Concert Halls, Proc. ANZAScA Conference, 81-90, Sydney, November.

5. CHANDRASEKARAN, V., GRUBITS, S.J., HILDBRANDT, M. and GUNARATNAM, D.J.(1993). Mathematical modelling and neural network simulation in fire safety engineering research. Fire Australia, Journal of the Australian Fire Protection Association and Institute of Fire Engineers, winter, 18-19.

6. HAAN C H & FRICKE F R (1994) The Use of Neural Network Analysis for the Prediction of Acoustic Quality of Concert Halls, Proceedings of Westprac 5, Seoul, Korea, August.

7. GUNARATNAM, D.J. and GERO, J.S.(1994). Effect of representation on the performance of neural networks in structural engineering applications, Microcomputers in Civil Engineering, 9, pp. 97 - 108.

8. FRICKE F.R.& HAAN C.H. (1995) Predicting the Acoustics of Concert Halls Using an Artificial Neural Network, Acoustics Australia, 23, 87-95

9. GUNARATNAM, D.J. and GARRETT, J.H. (1995) Incorporating Domain Knowledge in Neural Network Learning, Intelligent Engineering Systems Through Artificial Neural Networks, Vol 5., ed. Dagli, C.H., ASME Press, New York, pp.203 - 208.

10. FRICKE F.R. & HAAN C.H. (1995) Musician and Music Critic Responses to Concert Hall Acoustics, Proceedings of 15 ICA, Trondheim, June.

11. FRICKE F.R.& ENGLISH E.C. (1996), A Neural Network Approach to the Quantification of Shielding Effects, Proceedings of the Third International Colloquium on Bluff Body Aerodynamics and Applications, Blacksburg, Virginia.

12. OSMAN, R. & FRICKE, F.R. (1996) Predicting the Acoustic Quality of Small Music Rooms, Proceedings AAS Conference, Brisbane, Nov 1996.

13. HAAN C.H. & FRICKE F.R. (1997) An evaluation of the Importance of Surface Diffusivity in Concert Halls, Applied Acoustics, 51, pp. 53-69

14. ENGLISH, E.C. & FRICKE, F.R. (1997), The Interference Index and its Prediction Using Neural Networks, Proceedings of the Fourth Asia-Pacific Symposium on Wind Engineering, Surfer's Paradise, Australia, July.

15. GARRETT, J.H., GUNARATNAM, D.J. and IVEZIC, N. (1997) Chapter 1, Artificial Neural Networks for Civil Engineers: Fundamentals and Applications, American Society of Civil Engineers, New York, pp. 1 - 18.

16. OSMAN M.R. & FRICKE F.R. (1998), Predicting the Acoustic Performance of Small Music Rooms with Neural Networks, proceedings of the Singapore Acoustical Society Conference, Singapore, November.

17. NANNARIELLO J. & FRICKE F.R. (1998), The Prediction of Reverberation Time Using Neural Network Analysis, Proceedings 15 ICA, Seattle, USA, June.

18. FRICKE F.R. & HAN Y.G. (1998), A Neural Network Analysis of Concert Halls, Proceedings 15 ICA, Seattle, USA, June.

19. ENGLISH E.C. & FRICKE F.R. (1998), Predicting Interference Using a Neural Network, Proceedings of the 4th UK Conference on Wind Engineering, Bristol, September.

20. FRICKE F.R. & HAN Y.G. (1999), A Neural Network Analysis of Concert Hall Acoustics, Acoustica, 85, 113- 120.

21. NANNARIELLO J. & FRICKE F.R. (1999), The Prediction of Reverberation Time Using Neural Network Analysis, Applied Acoustics, 58 (3), 305-325.

22. FRICKE F.R. (1999), Neural Network Analysis Applied to Architectural Design, ANZAScA Annual Conference, Sydney, December 1999.

23. FRICKE F.R. (1999), Concert Hall Acoustic Design: Variations on a Theme of Beranek, Acoustics Today, Proceedings of the Annual Conference of the Acoustical Society of Australia, 119-130, Melbourne, November 1999.

24. NANNARIELLO J. & FRICKE F.R. (1999), The Prediction of Reverberation Time Using Neural Network Analysis, Applied Acoustics, 58 (3), 305-325.

25. FRICKE F.R. (1999), Neural Network Analysis Applied to Architectural Design, ANZAScA Annual Conference, Sydney, December 1999.

26. ENGLISH E.C. & FRICKE F.R. (1999), The interference index and its prediction using a neural network analysis of wind-tunnel data, J. Wind Engineering and Industrial Aerodynamics, 83, 567-575.

27. FRICKE, F.R. (2000), Visual Assessments of the Surface Diffusion Properties of Concert Halls, Applied Acoustics, 60, 253-261.

28. ENGLISH E.C. & FRICKE F.R. (2000), Continued Development of the Interference Index Using Neural Networks, Proceedings BBAA IV Conference. Bochum, Germany, September.

29. GUNARATNAM D. DEGROFF T. & FRICKE F. R. (2000) Dimensionality reduction in neural network modelling using dimensional theory and genetic algorithm, in: C.H.Dagli (Ed.), Intelligent Engineering Systems Through Artificial Neural Networks, Vol 10, ASME Press, New York, 2000, pp. 133 – 138.

30. FRICKE, F.R. & COOMES, J. (2000), Neural Network Predictions of Stud Wall Sound Insulation, ANZAScA Annual Conference, Adelaide, December.

31. FRICKE F.R. (2000), Architectural Acoustics in Australia: a New South Wales Perspective, Acoustics Australia, 28, 89-93.

32. COOMES J. & FRICKE F.R. (2001), The Prediction of Wall Sound Insulation Using Neural Network Analysis, Building Acoustics, 8, 175-191

33. FRICKE F.R. (2000), Concert Hall Acoustic Design: An Alternative Approach, Building Acoustics, 7, 233-246.

34. NANNARIELLO J. & FRICKE F.R. (2001), The Use of Neural Network Analysis to Predict the Acoustic Performance of Large Rooms Part I. Predictions of the Parameter G Utilizing Numerical Simulations, Applied Acoustics, 62, 917-950.

35. NANNARIELLO J. & FRICKE F.R. (2001), The Use of Neural Network Analysis to Predict the Acoustic Performance of Large Rooms Part II. Predictions of the Acoustical Attributes of Concert Halls Utilizing Measured Data. Applied Acoustics, 62, 951-977.

36. NANNARIELLO J. & FRICKE F.R. (2001), Maximising G Values in Concert Halls, Applied Acoustics, 62, 1397-1410

37. NANNARIELLO J. & FRICKE F.R. (2001), Introduction to neural network analysis and its application to building services engineering, Building Services Engineering Research & Technology Journal, 22, 61-71.

38. NANNARIELLO J., HODGSON, M. & FRICKE F.R. (2001), Neural Network Predictions of Speech Levels in University Classrooms, Applied Acoustics, 62, 749-767.

39. NANNARIELLO J. & FRICKE F.R. (2001), recent developments in the Application of Neural Network Analysis to Architectural and Building Acoustics, Acoustics Australia, 29, 103-110

40. FRICKE F.R. (2001), The Application of Neural Network Analysis to Auditorium Acoustics, 17th ICA Rome, Sept 2001

41. OSMAN, R. & FRICKE, F.R. (2001). Acoustics of Small Rooms for Music, International Symposium on Musical Acoustics, Perugia, Sept 2001

42. CHOI, Y.J. & FRICKE, F.R. (2001). Predicting the Acoustic Quality of Concert Halls, 17th ICA Rome, Sept 2001

43. NANNARIELLO, J. & FRICKE, F.R. (2001). A Neural Network Analysis of the effect of geometric variables on concert hall G values, Applied Acoustics, 62, 1397-1410

44. CHOI, Y.J. & FRICKE, F.R. (2001). The Parameters Contributing to the Acoustical Quality of Concert Halls, Australian Acoustical Society Conference, Canberra

45. CHOI, Y.J. & FRICKE, F.R., (2001) Investigation of the Factors Most Important for Determining the Acoustic Quality of Concert Halls, Proceedings 17th ICA, Rome.

46. OSMAN, R. & FRICKE, F.R., (2001). Predicting the Quality of Small Music Rooms, Proceedings 17th ICA, Rome.

47. KIM, S.K. & FRICKE, F.R., (2001). The Prediction of Room Impulse Response Functions, Proceedings 17th ICA, Rome.

48. NANNARIELLO J. & FRICKE F.R. (2001). The Prediction of Reverberation Time Using Suitable Neural Networks, 17th ICA, Rome.

49. Manivong, K., Jaafari, A., and Gunaratnam, D. (2002). An Integrated Project Management Information System. The Ninth International Conference on Computing in Civil and Building Engineering (ICCCBE-IX), Taipei, Taiwan, 3-5 April 2002, pp.1213 - 1218.

50. Manivong, K., Jaafari, A., and Gunaratnam, D. (2002). Tools and Techniques for Intelligent Project Management Information Systems: Heralding a New Project Management Paradigm. The First International Conference on Construction in the 21st Century (CITC2002): Challenges and Opportunities in Management and Technology. Miami, Florida, 25-26 April, 2002, pp. 617 – 624.

51. Jaafari, A., Gunaratnam, D., and Manivong, K. (2002). A Conceptual Model for Holistic Decision Making in Projects. The First International Conference on Construction in the 21st Century (CITC2002): Challenges and Opportunities in Management and Technology. Miami,Florida, 25-26 April, 2002, pp. 87 – 94.

52. Nagarajan, R., Balachandran, C, Gunaratnam, D., Klistorner, A. and Graham, S. (2002). Neural Network Model for Early Detection of Glaucoma using Multi-focal Visual Evoked Potential (M-VEP), Association for Research in Vision and Ophthalmology (ARVO), Fort Lauderdale, Florida, 5 – 10 May. 2002.

53. Manivong, K., Jaafari, A., and Gunaratnam, D. (2002). Games People Play with Proactive Management of Soft Issues on Capital Projects. ProMAC 2002: An International Conference on Project Management-Breakthrough with Project Management, in the Era of Global Revolution by IT, 2002. Singapore, 31 Jul.-2 Aug. 2002, pp. 141 - 146.

54. NANNARIELLO J. & FRICKE F.R. (2002), A Neural-computation Method of Predicting the Early Inter-aural Cross-correlation Coefficient (IACCE3) for Auditoria, Applied Acoustics, 63, 627-641

55. NANNARIELLO J., OSMAN M.R. & FRICKE F.R. (2002), Recent developments in the Application of neural Network Analysis to Architectural and Building Acoustics, Acoustics Australia, 29, 103-110.

56. NANNARIELLO J. & FRICKE F.R. (2002), The Prediction of Reverberation Time Using Optimal Neural Networks, Building Acoustics, 9, 5-28.

57. CHOI Y.J. & FRICKE F.R. (2002), The Use of Acoustic Simulation and Auralization in the Design of Concert Halls, Proceedings of the New Zealand Acoustical Society Conference, 205-220, Auckland, NZ.

58. CHOI Y.J. & FRICKE F.R. (2002), Evaluation of the Modelling and Auralization of Two Concert Halls, InterNoise 2003, Seogwipo, Korea.

59. Gunaratnam D.J., Degroff T., Gero J.S. (2003) Improving neural network models of physical systems through dimensional analysis, Applied Soft Computing Journal, February 2003, vol. 2, no. 4, pp. 283-296(14) Elsevier Science.

60. XU J. F. & FRICKE F.R. (2003), The Use of Evolutionary Algorithms to Optimize the Performance of Thin Membrane Absorbers, InterNoise 2003, Seogwipo, Korea.

61. XU J. F. & FRICKE F.R. (2003), The Prediction of Airborne and Impact Sound transmission Through Floor-Ceiling Constructions Using Neural Network Analysis, Tenth International Conference on Sound and Vibration, Stockholm, Sweden.