Machine learning in configuration design

Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

Volumn 10, Issue 2, 1996, Pages 101-113

  Murdoch, Tim ^a   Ball, Nigel ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Configuration optimization; Kohonen feature map

Indexed keywords

COSTS; DATA REDUCTION; DECISION MAKING; DESIGN; NEURAL NETWORKS; OPTIMIZATION; PERFORMANCE; RELIABILITY;

CONFIGURATION DESIGN; KOHONEN FEATURE MAP;

LEARNING SYSTEMS;

EID: 0030129391     PISSN: 08900604     EISSN: None     Source Type: Journal    
DOI: 10.1017/s0890060400001347     Document Type: Article

References (19)

1. Ball, N.R., & Murdoch, T.N.S. (1994). Analysing design configuration spaces using a self-organising neural network. Adaptive Computing in Engineering Design and Control - '94, 90-96.
2. Byworth, S. (1987). Design and development of high temperature turbines. Turbomachinery Int. May/June.
3. Caudell, T.P., Smith, D.G., Escobedo, R., & Anderson, M. (1994). NlRS: Large scale ART-1 neural architectures for engineering design retrieval. Neural Networks 7(9), 1339-1350.
4. Coplin, J.F. (1989). Engineering design -A powerful influence on the business success of manufacturing industry. ICED-89, 1-32.
5. Duffy, A.H.B., & Kerr, S.M. (1993). Customised perspectives of past designs from automated group rationalisations. Artificial Intelligence in Engineering, 8, 183-200.
6. Koh, J., Suk, M., & Bhandarkar, S.M. (1995). A multilayer self-organizing feature map for range image segmentation. Neural Networks 8(1), 67-86.
7. Kohonen, T. (1984). Self-organisation and associative memory. Springer-Verlag, New York.
8. Kohonen, T., Torkkola, K., Shozakai, M., Kangas, J., & Vent, O. (1987). Microprocessor implementation of a large vocabulary speech recognizer and phonetic typewriter for Finnish and Japanese. Proc. Eur. Conf. Speech Technol. 377-380.
9. Martinelli, G., Ricotti, L.P., & Ragazzini, S. (1990). Nonstationary lattice quantization by a self-organizing neural network. Neural Networks 3(4), 385-393.
10. Matsuyama, Y. (1988). Vector quantization with optimized grouping and parallel distributed processing. Neural Networks 1, 36-42.
11. Murdoch, T.N.S. (1994). Machine learning in configuration design: A case study in configuration analysis. Workshop on Machine Learning in Design, AID-94.
12. Murdoch, T.N.S. (1993). Configuration evaluation and optimisation of technical systems. Ph.D. Thesis, Cambridge University.
13. Murdoch, T.N.S., & Wallace, K.M. (1992). Configuration optimisation of technical systems. J. Eng. Design 3(2), 99-116.
14. Murdoch, T.N.S., & Wallace, K.M. (1995). Design for technical merit, design for X: Concurrent engineering imperatives. Chapman&Hall, New York.
15. Pahl, G., & Beitz, W. (1984). Engineering design. Design Council, London.
16. Reich, Y., Konda, S.L., Levy, S.N., Monarch, I.A., & Subrahmanian, E. (1993). New roles for machine learning in design. Artif. Intell. Eng. 8(3), 165-181.
17. Schraudolph, N. (1990). A user's guide to GENESIS 1.2ucsd. University of California, San Diego, CA.
18. Statnikov, R.B., & Matusov, J.B. (1995). Multicriteria optimization and engineering. Chapman & Hall, New York.
19. Vercauteren, L., Sieben, G., Praet, M., Otte, G., Vingerhoeds, R., Boullart, L., Calliauw, L., & Roels, H. (1990). The classification of brain tumours by a topological map. Proc. Int. Conf. Neural Nets., 387-391.