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Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1
Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process
Jinan, China
October 16-October 18
ISBN: 0-7695-2528-8
ASCII Text
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Jinliang Ding, Ping Zhou, Changxin Liu, Tianyou Chai, "Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process," Intelligent Systems Design and Applications, International Conference on, vol. 1, pp. 979-984, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006.
 
 
BibTex
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@article{ 10.1109/ISDA.2006.169,
author = {Jinliang Ding and Ping Zhou and Changxin Liu and Tianyou Chai},
title = {Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {1},
year = {2006},
isbn = {0-7695-2528-8},
pages = {979-984},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.169},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process
SN - 0-7695-2528-8
SP979
EP984
A1 - Jinliang Ding,
A1 - Ping Zhou,
A1 - Changxin Liu,
A1 - Tianyou Chai,
PY - 2006
KW - null
VL - 1
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
Jinliang Ding, Northeastern University, China
Ping Zhou, Northeastern University, China
Changxin Liu, Northeastern University, China
Tianyou Chai, Northeastern University, China
The particle size is the important technical performance index of the grinding process, which closely related to the overall performance of the mineral processing. In this paper, we mainly concern on the determination of the particle size for the supervisory control of the grinding process by the technical performance index decision system. The overall structure of the system and introduce of every part are given briefly. The experiment results and its compare with the Neural Network method show its validity and efficiency.
Citation:
Jinliang Ding, Ping Zhou, Changxin Liu, Tianyou Chai, "Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process," isda, vol. 1, pp.979-984, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
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