Deep Convolutional Neural Network for Mill Feed Size Characterization <ce:cross-ref refid='fn1'> <ce:sup loc='post'>?</ce:sup> </ce:cross-ref>

Laurentz E. Olivier; Michael G. Maritz; Ian K. Craig

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Deep Convolutional Neural Network for Mill Feed Size Characterization ?

机译：用于轧机进料尺寸表征的深度卷积神经网络？

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Knowing the characteristics of the feed ore size is an important consideration for operations and control of a run-of-mine ore milling circuit. Large feed ore variations are important to detect as they require intervention, whether it be manual by the operator or by an automatic controller. A deep convolutional neural network is used in this work to classify the feed ore images into one of four classes. A VGG16 architecture is used and the classifier is trained making use of transfer learning.

机译：知道进料矿石尺寸的特征是运行和控制矿粉碾磨回路的重要考虑因素。较大的进料矿石变化对检测非常重要，因为它们需要干预，无论是由操作员手动还是由自动控制器进行人工干预。在这项工作中使用了深度卷积神经网络将进矿图像分类为四个类别之一。使用了VGG16架构，并利用转移学习对分类器进行了训练。

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《IFAC PapersOnLine》 |2019年第14期|共6页
作者
Laurentz E. Olivier; Michael G. Maritz; Ian K. Craig;
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正文语种
中图分类自动化技术、计算机技术;
关键词
Deep learningconvolutional neural networktransfer learningmillingrun-of-mine ore;

机译：深度学习卷积神经网络转移学习铣矿;

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1. Deep Convolutional Neural Network for Mill Feed Size Characterization ? [J] . Laurentz E. Olivier, Michael G. Maritz, Ian K. Craig IFAC PapersOnLine . 2019,第14期

机译：用于轧机进料尺寸表征的深度卷积神经网络？
2. Estimating Ore Particle Size Distribution using a Deep Convolutional Neural Network ? [J] . Laurentz E. Olivier, Michael G. Maritz, Ian K. Craig IFAC PapersOnLine . 2020,第2期

机译：使用深卷积神经网络估计矿石粒度分布？
3. State Realizations of 2-Periodic Convolutional Codes: a switching system approach ? ? [J] . E. Fornasini, D. Napp, R. Pereira, IFAC PapersOnLine . 2021,第9期

机译：状态实现为2定期卷积码：切换系统方法？？
4. Deep Convolutional Neural Network for Mill Feed Size Characterization [C] . Laurentz E. Olivier, Michael G. Maritz, Ian K. Craig IFAC Symposium on Control, Optimization and Automation in Mining, Minerals and Metal Processing . 2020

机译：用于轧机馈电尺寸表征的深卷积神经网络
5. Deep Convolutional Neural Networks for the Face and Iris Based Presentation Attack Mitigation [D] . Chatterjee, Prosenjit. 2020

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6. Computer-aided diagnosis of lung nodule classification between benign nodule primary lung cancer and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning [O] . Mizuho Nishio, Osamu Sugiyama, Masahiro Yakami, -1

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7. Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning [O] . Mizuho Nishio, Osamu Sugiyama, Masahiro Yakami, 2018

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Deep Convolutional Neural Network for Mill Feed Size Characterization ?

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