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25 results on '"Tan, Minghao"'

4. Ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Projects

Author

Min, Hu, Wu, Kaihan, Tan, Minghao, Lin, Junyan, Zheng, Yufan, Zhan, Choujun, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Zhang, Haijun, editor, Chen, Yuehui, editor, Chu, Xianghua, editor, Zhang, Zhao, editor, Hao, Tianyong, editor, Wu, Zhou, editor, and Yang, Yimin, editor

Published
2022
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13. Hybrid Intelligent Control Strategy of the Laminar Cooling Process

Author

Tan, Minghao, Li, Shujiang, Chai, Tianyou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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14. Laminar Cooling Process Model Development Using RBF Networks

Author

Tan, Minghao, Zong, Xuejun, Yue, Heng, Pian, Jinxiang, Chai, Tianyou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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22. INTELLIGENT OPTIMIZATION CONTROL FOR LAMINAR COOLING

Author

Chen Xiaoyan, LI Hanxiong, Tan Minghao, and Chai Tian-you

Subjects
Nonlinear system, Engineering, Supervisory control, Control theory, business.industry, Control (management), Process (computing), Laminar cooling, Slab, General Medicine, business, Error detection and correction, Temperature measurement
Abstract

The laminar cooling of hot slabs is a distributed-parameter system characterized by time varying, nonlinear factors and physical difficulties in continuous temperature measurement. The process operation is classified into operating points according to steel No., thickness and target temperature. The moving slab is divided into segments upon which the control is to be implemented. The technology of soft sensing is incorporated into the temperature prediction model of the process that is adapted online to find the temperature profile through thickness, which will be used for online error correction in closed-loop control. Industrial experiments have shown the effectiveness of the proposed method.

Published
2002

24. Hybrid Intelligent Control Strategy of the Laminar Cooling Process.

Author

Wang, Jun, Yi, Zhang, Zurada, Jacek M., Lu, Bao-Liang, Yin, Hujun, Tan, Minghao, Li, Shujiang, and Chai, Tianyou

Abstract

Performance of controlled laminar cooling is usually poor because of the difficulty in continuous online temperature measurement and the complex nature of the laminar cooling process (e.g., highly nonlinear, time varying). This paper developed a hybrid control strategy for the laminar cooling process that integrates Radial Basis Function (RBF) networks and Case-Based Reasoning (CBR). The spraying pattern and the first activated headers are found by a case-based reasoner, while the number of activated headers is calculated in real time by RBF networks. Experimental studies using production data from a hot strip mill show the superior performance of the proposed control strategy. [ABSTRACT FROM AUTHOR]

Published
2006
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25. Laminar Cooling Process Model Development Using RBF Networks.

Author

Wang, Jun, Yi, Zhang, Zurada, Jacek M., Lu, Bao-Liang, Yin, Hujun, Tan, Minghao, Zong, Xuejun, Yue, Heng, Pian, Jinxiang, and Chai, Tianyou

Abstract

Due to the complex nature (e.g., highly nonlinear, time varying, and spatially varying) of the laminar cooling process, accurate mathematical modeling of the process is difficult. This paper developed a hybrid model of the laminar cooling process by integrating Radial Basis Function (RBF) networks into the first principles dynamical model. The heat transfer coefficients of water cooling in the dynamical model were found by RBF networks. The developed model is capable of predicting the through-thickness temperature evolutions of the moving strip during the laminar cooling process. Experimental studies using real data from a hot strip mill show the superiority of the proposed model. [ABSTRACT FROM AUTHOR]

Published
2006
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