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Creating and using models for engineering design: a machine-learning approach

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4 Author(s)
Yerramareddy, S. ; Illinois Univ., Urbana, IL, USA ; Tcheng, D.K. ; Lu, S.C.-Y. ; Assanis, D.N.

An adaptive and interactive modeling system (AIMS) that integrates simulation, optimization and machine learning to help engineers make design decisions is described. AIMS views engineering decision making as a two-phase process of creating and then using models. The competitive relation learner and the induce-and-select optimizer, AIMS's two main components, and their roles in both phases of decision-making are discussed. AIMS's role in supporting the design of a diesel engine that outputs power within the 440- to 460-kW range and consumes the least amount of fuel is also discussed.<>

Published in:

IEEE Expert  (Volume:7 ,  Issue: 3 )