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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2020 Vol.10(5): 160-169 ISSN: 2010-3697
DOI: 10.7763/IJMO.2020.V10.765

Gas Diffusion Simulation Based on Ensemble Approach

K. M. Gwak and Young J. Rho

Abstract—The 4th 1 industrial revolution is promoting manufacturing industry to be vitalized again. The manufacturing industry requires many industrial materials. Among them, different gases are also used in many fields. While they are useful, industrial gases can be also hazardous at the same time. In order to control those bad features of gases, their dynamic characteristics are required to be understood. In this paper we tried to understand the characteristics by applying several machine learning methods such as MLP, DLP and LSTM. Two ensemble methods are applied to compensate the lack of raw data. Simulation outputs are compared each other to know which method is proper for this case.

Index Terms—Data mining, neural networks, computer simulation, pattern recognition.

The authors are with the Department of Smart Factory and Computer Science, Korea Polytechnic University, Korea (e-mail: yrho@kpu.ac.kr, k010511@naver.com).


Cite: K. M. Gwak and Young J. Rho, "Gas Diffusion Simulation Based on Ensemble Approach," International Journal of Modeling and Optimization vol. 10, no. 5, pp. 160-169, 2020.

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