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ABSTRACT
<p>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.</p>
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CITATION

S. C. Lu, S. Yerramareddy, D. K. Tcheng and D. N. Assanis, "Creating and Using Models for Engineering Design: A Machine-Learning Approach," in IEEE Intelligent Systems, vol. 7, no. , pp. 52-59, 1992.
doi:10.1109/64.143239
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