Intelligent Optimal Framework for the Industrial Mining Plant-Wide Prediction Control
Author:
Affiliation:
1. School of Automation, Central South University, Changsha, China
Funder
National Natural Science of Foundation
Yunnan Province Science and Technology Planning
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10155479.pdf?arnumber=10155479
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1. Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction
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5. Data driven control of underflow slurry concentration in deep cone thickener
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