Abstract
During the design process, it is necessary to evaluate mechanical designs to decide if they are worth pursuing. Early evaluation of such designs can reduce the cost due to repeated iterations and corrections. This paper introduces a preliminary approach for using principal component analysis and self-organizing neural networks to evaluate designs at the conceptual stage in the design life-cycle. The paper focuses on a method for extracting the evaluation rules that are implicit to the neural network with the aim of generating design heuristics. A case study is described, and design heuristics are generated based on analysis of previous designs using the proposed approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Achten, H. H., Oxman, R. and Bax, T.: 1998, Typological knowledge acquisition through a schema of generic representations, in J. S. Gero and F. Sudweeks (eds.), Artificial Intelligence in Design 98, Kluwer Academic Publishers, Dordrecht, pp. 191–207.
Bishop, C. M.: 1995, Neural Networks for Pattern Recognition, Oxford University Press, Oxford, UK.
Blessing, L. T. M.: 1988, Methodisch ontwerpen en kunstmatige intelligentie (Methodical design and artificial intelligence), Technical Report OC-171, Department of Engineering, University of Twente, in Dutch.
Carnahan, J. V., Thurston, D. L. and Liu, T.: 1994, Fuzzing ratings for multiattribute design descision-making, ASME Journal of Mechanical Design, 116(2), 511–521.
Corbett-Clark, T. A. and Tarassenko, L.: 1997, A principled framework and technique for rule extraction from multi-layer perceptrons, Proceedings of the 5th International Conference on Artificial Neural Networks, pp. 233–238.
De Jong, A. J. M.: 1986, Kennis en het Oplossen van Vakinhoudelijke Probleemen (Knowledge Based Problem Solving), Ph.D. thesis, Technische Hogeschool Eindhoven, in Dutch.
Diamantaras, K. I. and Kung, S. Y: 1996, Principal Component Analysis: Theory and Applications, John Wiley, New York, NY.
Fenves, S. J., Flemming, U., Hendrickson C. and Maher M. L.: 1991, Performance evaluation in an integrated software environment for building desgin and construction planning, Evaluating and Predicting Design Performance, John Wiley, New York, pp. 159–169.
Fisher, R. A.: 1936, Iris Plant Database http://www.ics.uci.edu/~mlearn/MLSummary.html. Hosted at the University of California, Irvine Information & Computer Science Site.
Kohonen, T.: 1997, Self-Organizing Maps, second edition, Springer-Verlag, Berlin.
Kohonen, T., Hynninen, J., Kangas, J. and Laaksonen, J.: 1996, SOM_PAK: The Self-Organizing Map Program Package, Technical Report A31, Faculty of Information Sciences, Helsinki University of Technology, Laboratory of Computer and Information Science, Espoo, Finland.
Matlab: 1992, Matlab Reference Guide, The MathWorks, Inc., Natick, MA.
Pahl, G. and Beitz, W: 1996, Engineering Design: A Systematic Approach, second edition, Springer-Verlag, London.
Pugh, S.: 1990, Total Design, Addison-Wesley, Reading, MA.
Reich, Y.: 1994, Macro and micro perspectives of multistrategy learning, Machine Learning: A Multistrategy Approach, 4, Morgan Kaufmann, San Fransisco, pp. 379–401
Reich, Y., Fenves, S. J. and Subrahmanian, E.: 1994, Flexible extraction of practical knowledge from bridge databases, Proceedings of the First Congress on Computing in Civil Engineering. Washington, DC, pp. 1014–1021.
Roozenburg, N. F. M. and Eekels, J.: 1995, Product Design: Fundamentals and Methods, Wiley, Chichester, UK.
Rüping, S. and Müller, J.: 1999, Analysis of IC fabrication processes using self-organizing maps, Ninth International Conference on Artificial Neural Networks, 2, 631–636.
Taylor, A. J. and Ben, N. T.: 1993, Enhancement of design evaluation during concept development, inN. F. M. Roozenburg (ed.), Proceedings of the 9th International Conference on Engineering Design, 1, 481–484, The Hague.
Wallace, K. M.: 1998, An Introduction to the Design Process, Cambridge University Engineering Department (Teaching Material), Cambridge, UK.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Matthews, P., Wallace, K., Blessing, L. (2000). Design Heuristics Extraction. In: Gero, J.S. (eds) Artificial Intelligence in Design ’00. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4154-3_22
Download citation
DOI: https://doi.org/10.1007/978-94-011-4154-3_22
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-5811-7
Online ISBN: 978-94-011-4154-3
eBook Packages: Springer Book Archive