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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2011 Vol.1(4): 353-358 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2011.V1.52

An Introduction of BOM Modeling Framework

Qiang He, Ming-xin Zhang, and Jian-xing Gong

Abstract—Component based modeling has been a research hotpot in the area of Modeling and Simulation for a long time. In order to increase the reusability and interoperability of models, this paper put forward a component based modeling framework called BOM Modeling Framework (BMF) based on BOM specification. The structure, principles, formalisms and behaviors of BMF were presented in detail first. The description and framework of Atomic BOM model and coupled BOM model in BMF were studied in succession. At last, the developing process of BMF models was introduced. The prototype developed showed that BMF could not only promote the reusability and interoperability of models but also improve the efficiency and easy the process of M&S.

Index Terms—Basic Object Model; BOM Modeling Framework; Atomic BOM Model; Coupled BOM Model

Qiang He is a Ph.D. student in the College of Mechatronical Engineering and Automation at National University of Defense Technology, Changsha, P. R. China (e-mail: heqiang@nudt.edu.cn).
Ming-xin Zhang is Ph.D. student in the Faculty of technology, policy and management at Delft University of Technology, Delft, the Netherlands (e-mail: zh.mingxin@gmail.com).
Jian-xing Gong is a lecturer in the College of Mechatronical Engineering and Automation at National University of Defense Technology, Changsha, China (e-mail: fj_gjx@yahoo.com).

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Cite: Qiang He, Ming-xin Zhang and Jian-xing Gong, "An Introduction of BOM Modeling Framework," International Journal of Machine Learning and Computing vol. 1, no. 4, pp. 353-358, 2011.

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