Response Surfaces of Neural Networks Learned Using Bayesian Framework and Its Application to Optimization Problem
Author:
Affiliation:
1. Mechanical Engineering Research Laboratory, Hitachi, Ltd.
Publisher
Japan Society of Mechanical Engineers
Subject
General Medicine
Link
http://www.jstage.jst.go.jp/article/jcst/3/1/3_1_315/_pdf
Reference12 articles.
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3. (3) Hagiwara, I., SHI, Q., and Kozukue, W.,“Function Approximation Method for Crash Optimization Using Neural Network”, Transactions of the Japan Society of Mechanical Engineers, Series A, Vol. 63, No. 616 (1997), pp. 46-53.
4. (4) Nakajima, Y., Kadowaki, H., Kamegawa, T., and Ueno, K.,“Optimization of Tire Contact Performance by Neural Network”, OPTIS '98, No. 98-14 (1998-8), pp. 87-92.
5. (5) Sugimura, K., Savill, A. M., and Dawes, W. N.,“Development of Emerging Design Optimization System Using Neural Network and its Application for Turbomachinery Blade Design”, OPTIS 2002, No. 02-03 (2002-10), pp. 357-362.
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