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International Journal of Production Research Volume 45, 2007 - Issue 15
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Original Articles

A framework for determining MIMO process parameters by a neuro-DM&ACO approach

J.-T. Wong Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Touliu, Yunlin, Taiwan, Republic of ChinaCorrespondence[email protected]
,
C.-T. Su Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Touliu, Yunlin, Taiwan, Republic of China
&
H.-T. Hsieh Nevada Center for Advanced Computational Methods, College of Engineering, University of Nevada, Las Vegas, USA
Pages 3505-3520 | Received 01 Nov 2005, Published online: 11 Jun 2007

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Read on this site (2)

Yong-Hong Kuo & Andrew Kusiak. (2019) From data to big data in production research: the past and future trends. International Journal of Production Research 57:15-16, pages 4828-4853.
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Claudia Barreto Cabrera, Joaquín B. Ordieres Meré, Manuel Castejon Limas & Juan José del Coz Díaz. (2010) A data-driven manufacturing support system for rubber extrusion lines. International Journal of Production Research 48:8, pages 2219-2231.
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Articles from other publishers (3)

Rongbo Zhao, Xiaolin Wang, Ziyu Hu, Hong Xu & Xiangming He. (2023) Critical dimension prediction of metal oxide nanoparticle photoresists for electron beam lithography using a recurrent neural network. Nanoscale.
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Jui-Tsung Wong, Chwen-Tzeng Su & Chun-Hsien Wang. (2012) Stochastic dynamic lot-sizing problem using bi-level programming base on artificial intelligence techniques. Applied Mathematical Modelling 36:5, pages 2003-2016.
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Te-Sheng Li & Szu-Hung Chen. (2009) Modeling and optimization of thermal-flow lithography process using a neural-genetic approach. Journal of Intelligent Manufacturing 22:2, pages 191-200.
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