Grade Monitoring using Semantic Features of Flotation Froth Image
Author:
Affiliation:
1. Northeastern University,School of Information Science and Engineering,Shenyang,China,110004
2. BGRIMM Technology Group,Beijing,China,100160
3. State Key Laboratory of Process Automation in Mining & Metallurgy,Beijing,China,102628
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10032843/10032844/10033978.pdf?arnumber=10033978
Reference30 articles.
1. Digital image processing as a tool for on-line monitoring of froth in flotation plants
2. The interrelationship between surface froth characteristics and industrial flotation performance
3. Development of a new algorithm for segmentation of flotation froth images;jahedsaravani;Minerals & Metallurgical Processing,2014
4. On-line analysis of froth surface in coal and mineral flotation using JKFrothCam
5. Theory of the backpropagation neural network;robert;Neural Networks,1988
1.学者识别学者识别
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3.人才评估人才评估
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