Creating and using models for engineering design: a machine-learning approach
作者： S. Yerramareddy , D.K. Tcheng , S.C.-Y. Lu , D.N. Assanis
DOI: 10.1109/64.143239
关键词:
摘要: An adaptive and interactive modeling system (AIMS) that integrates simulation, optimization machine learning to help engineers make design decisions is described. AIMS views engineering decision making as a two-phase process of creating then using models. The competitive relation learner the induce-and-select optimizer, AIMS's two main components, their roles in both phases decision-making are discussed. role supporting diesel engine outputs power within 440- 460-kW range consumes least amount fuel also >
sci-hub.se 参考文章(8)
David Tcheng, Bruce Lambert, Larry Rendell, Stephen C-Y. Lu, Building robust learning systems by combining induction and optimization international joint conference on artificial intelligence. pp. 806- 812 ,(1989)
Stephen C-Y. Lu, I. Ham, Machine Learning Techniques for Group Technology Applications CIRP Annals. ,vol. 38, pp. 455- 459 ,(1989) , 10.1016/S0007-8506(07)62745-0
K. J. Bathe, H. Saunders, Finite element procedures in engineering analysis ,(1982)
G. M. Zhang, S. Yerramareddy, S. M. Lee, S. C.-Y. Lu, Simulation of Surface Topography Formed During the Intermittent Turning Processes Journal of Dynamic Systems, Measurement, and Control. ,vol. 113, pp. 273- 279 ,(1991) , 10.1115/1.2896375
Larry Rendell, A new basis for state-space learning systems and a successful implementation Artificial Intelligence. ,vol. 20, pp. 369- 392 ,(1983) , 10.1016/0004-3702(83)90002-4
Garret N. Vanderplaats, Numerical Optimization Techniques for Engineering Design: With Applications ,(1984)
Stephen C.-Y. Lu, Kaihu Chen, A machine learning approach to the automatic synthesis of mechanistic knowledge for engineering decision-making Ai Edam Artificial Intelligence for Engineering Design, Analysis and Manufacturing. ,vol. 1, pp. 109- 118 ,(1987) , 10.1017/S0890060400000202
J.R. Quinlan, Induction of Decision Trees Machine Learning. ,vol. 1, pp. 81- 106 ,(1986) , 10.1023/A:1022643204877