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Learning abstract models for system design

Published online by Cambridge University Press:  27 February 2009

Sudhakar Y. Reddy
Sudhakar Y. Reddy
Affiliation:
Rockwell International Science Center, Palo Alto Laboratory, 444 High Street, Suite 400, Palo Alto, CA 94301, U.S.A.
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Abstract

Though simulation models are extensively used for detailed design analysis, they find limited role in preliminary design decisions. We have developed a machine learning based approach to enable detailed simulation models to be harvested for supporting early-stage design of engineering systems.

Keywords

Model AbstractionMachine LearningInteractive RefinementSystem Design
Type
Research Abstracts
Information
AI EDAM , Volume 10 , Issue 2: Special Issue: Machine learning in design , April 1996 , pp. 167 - 169
Copyright
Copyright © Cambridge University Press 1996

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References

REFERENCES

Reddy, S.Y. (1994). Hierarchical and interactive parameter refinement for early stage system design. Ph.D. thesis, University of Illinois at Urbana-Champaign, Department of Mechanical Engineering, Urbana, IL.Google Scholar
Reddy, S.Y., & Lu, S.C.-Y. (1994). An interactive refinement methodology for early stage exploration of design space during system design. Annals of the CIRP 43(1).CrossRefGoogle Scholar
Tcheng, D., Lambert, B., Lu, S.C.-Y., & Rendell, L. (1989). Building robust learning systems by combining induction and optimizations. Proc. Eleventh IJCAI, 308–314.Google Scholar
Yerramareddy, S., & Lu, S.C.-Y. (1993). Hierarchical and interactive decision refinement methodology for engineering design. Res. Eng. Design 4(4), 227–239.CrossRefGoogle Scholar
Yerramareddy, S., Tcheng, D.T., Lu, S.C.-Y., & Assanis, D.N. (1992). Creating and using models for engineering design. IEEE Expert 7(3), 52–59.CrossRefGoogle Scholar