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9篇 您的检索式：作者名="YOSHIMURA Shinobu"

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		题名	作者	年代	出处	被引量
	1	New regulation by transformation for neural network based inverse analyses and its application 显示文摘	YOSHIMURA Shinobu MATSUDA Akihiro YAGAWA Genki	1996	Int J Number Methods in Eng1996，39，：	1
	2	New regularization by transformation for neural network based inverse analyses and its application to structure identification 显示文摘	YOSHIMURA Shinobu MATSUDA Akihiro YAGAWA Genki	1996	Int J for Numer Methods in Eng1996，39，：	1
	3	New regularization by transformation for neural network based inverse analyses and its application to structure identification 显示文摘	YOSHIMURA Shinobu MATSUDA Akihiro YAGAWA Genki	1996	Int J Numer Methods in Eng1996，39，：	1
	4	New regulation by transformation for neural network based inversed analysis and its application to structure identification显示文摘	Shinobu Yoshimura A K ihiri matsuda Genki Yagaws	1966	International Journal of Numerical Method in Engineering1966，39，：	1
	5	New Regularization by Transform Ation for Neural Netwok Based Inverse Analyse and Its Application to Structure Identification 显示文摘	Akihiro Matsuda Genki Yagawa	1996	International Journal for Ntmerical Methods in Engineering1996，39，：	1
	6	Au- tomation of Thermal and Structural Design Using Artificial Intelli- gence Techniques显示文摘	Yoshimura Shinobu Yagawa Genkil Mochizuki Yoshihiko	1990	Engineering Analysis1990，7，2：	1
	7	New regulation by transformation for neural network based inversed analyses and its application to structure identification显示文摘	Shinobu Yoshimura Akihiri Matsuda C enki Yagawa	1996	International Journal for Numerical Method in Engineering1996，39，：	1
	8	An automated system for simulation and parameter identification ofinelastic constitutive models 显示文摘	Tomonari Furukawa Tomohiro Sugata Shinobu Yoshimura	2002	Computer Methods in AppliedMechanics and Engineering2002，191，：	1
	9	Efficient Origin-Destination Estimation Using Microscopic Traffic Simulation with Restricted Rerouting显示文摘Traffic simulators are utilized to solve a variety of traffic-related problems.For such simulators,origin-destination(OD)traffic volumes as mobility demands are required to input,and we need to estimate them.The authors regard an OD estimation as a bi-level programming problem,and apply a microscopic traffic simulation model to it.However,the simulation trials can be computationally expensive if full dynamic rerouting is allowed,when employing multi-agent-based models in the estimation process.This paper proposes an efficient OD estimation method using a multi-agent-based simulator with restricted dynamic rerouting to reduce the computational load.Even though,in the case of large traffic demand,the restriction on dynamic rerouting can result in heavier congestion.The authors resolve this problem by introducing constraints of the bi-level programming problem depending on link congestion.Test results show that the accuracy of the link traffic volume reproduced with the proposed method is virtually identical to that of existing methods but that the proposed method is more computationally efficient in a wide-range or high-demand context.	Kazuki Abe Hideki Fujii Shinobu Yoshimura	2023	Computer Modeling in Engineering & Sciences2023，，5：	0

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