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A Deep Convolutional Neural Network Model for Intelligent Discrimination between Coal and Rocks in Coal Mining Face
Joint Authors
Si, Lei
Tan, Chao
Xiong, Xiangxiang
Wang, Zhong-bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Accurate identification of the distribution of coal seam is a prerequisite for realizing intelligent mining of shearer.
This paper presents a novel method for identifying coal and rock based on a deep convolutional neural network (CNN).
Three regularization methods are introduced in this paper to solve the overfitting problem of CNN and speed up the convergence: dropout, weight regularization, and batch normalization.
Then the coal-rock image information is enriched by means of data augmentation, which significantly improves the performance.
The shearer cutting coal-rock experiment system is designed to collect more real coal-rock images, and some experiments are provided.
The experiment results indicate that the network we designed has better performance in identifying the coal-rock images.
American Psychological Association (APA)
Si, Lei& Xiong, Xiangxiang& Wang, Zhong-bin& Tan, Chao. 2020. A Deep Convolutional Neural Network Model for Intelligent Discrimination between Coal and Rocks in Coal Mining Face. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1193980
Modern Language Association (MLA)
Si, Lei…[et al.]. A Deep Convolutional Neural Network Model for Intelligent Discrimination between Coal and Rocks in Coal Mining Face. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1193980
American Medical Association (AMA)
Si, Lei& Xiong, Xiangxiang& Wang, Zhong-bin& Tan, Chao. A Deep Convolutional Neural Network Model for Intelligent Discrimination between Coal and Rocks in Coal Mining Face. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1193980
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193980