Effective Throughput Optimization of SAG Milling Process Based on BPNN and Genetic Algorithm-Reference-Cited by-同舟云学术

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Effective Throughput Optimization of SAG Milling Process Based on BPNN and Genetic Algorithm

Published:2023-05-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)
language:
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Author:

Liao Zhenhong¹,Xu Ce²,Chen Wen²,Chen Qifu¹,Wang Feng¹,She Jinhua³

Affiliation:

1. School of Automation, China University of Geosciences,Wuhan,China,430074

2. Changsha Research Institute of Mining and Metallurgy CO., LTD.,Department of Mineral Resources Development and Utilization,Chagnsha,China,410012

3. School of Engineering, Tokyo University of Technology,Hachioji, Tokyo,Japan,192-0982

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

China Postdoctoral Science Foundation

111 Project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10127967/10127864/10128031.pdf?arnumber=10128031

Reference8 articles.

1. A review on genetic algorithm: past, present, and future

2. Evolutionary Algorithms for Constrained Parameter Optimization Problems

3. Fuzzy Logic Control On a SAG Mill

4. Evolution of SAG Mill Process Control at the Xstrata Nickel Raglan Operation;bartsch;40th Annual Meeting of the Canadian Mineral Processors,2008

5. Optimization of a SAG Mill Energy System: Integrating Rock Hardness, Solar Irradiation, Climate Change, and Demand-Side Management

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