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基于深度学习的煤分类系统的设计和应用

Kun Zhang1,2,3, Zhen Wang1, Zengbao Zhang3

  • 1Shandong Provincial Key Laboratory of Robotics and Intelligent Technology, Shandong University of Science and Technology, Qianwangang Road 579, Qingdao, 266590, Shandong, China.

Scientific reports
|July 17, 2024
PubMed
概括

这项研究引入了一种智能系统,用于使用深度学习进行煤炭格分类,比传统方法显著提高了准确性和速度. 新的非接触式气动系统可以提高现代煤炭洗厂的原煤纯度.

关键词:
煤炭集团是一个团伙.深度学习是一种深度学习.帮派检测检测器 帮派检测器帮派分类 帮派分类系统应用程序系统应用程序

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Aggregates Classification01:29

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
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