Results 41 to 50 of about 495 (176)
Scientific Reports, 2022 Using image recognition technology to realize coal gangue recognition is one of the development directions of intelligent fully mechanized caving mining.
Lei Zhang +4 more
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Aggregation enhanced coal-gangue video recognition model based on long and short-term storage
Gong-kuang zidonghua, 2023 Some key targets will be missed when using coal-gangue image recognition technology to recognize coal-gangue. Compared with the image target recognition model, the video target recognition model is closer to the requirements of the coal-gangue ...
YANG Jun
doaj +1 more source
IEEE Access, 2020 In order to clearly grasp the influence rules of the coal gangue volume mixture ratio on the system contact response, and finally realize the coal gangue mixing ratio recognition according to the contact response differences, on the basis of the Hertz ...
Yang Yang +3 more
doaj +1 more source
An Improved Method of Coal Gangue Deep Learning Recognition
, 2022 Aiming at the problems of the existing coal gangue recognition methods based on image processing, such as the inaccurate positioning of coal gangue targets on the conveyor belt, and the influence of belt background and local surface of coal gangue on the recognition process, a coal gangue recognition method based on deep learning is proposed.
Zheng, Libo, Feng, Yuan
openaire +1 more source
Automatic Recognition of Coal and Gangue based on Convolution Neural Network
CoRR, 2017 We designed a gangue sorting system,and built a convolutional neural network model based on AlexNet. Data enhancement and transfer learning are used to solve the problem which the convolution neural network has insufficient training data in the training stage.
Huichao Hong +4 more
openaire +2 more sources
Research on key generic technology of multi-arm intelligent coal gangue sorting robot
Meitan kexue jishu, 2023 According to the intelligent green development strategy of coal mine in our country, the research status of intelligent coal gangue sorting system at home and abroad is deeply analyzed.
MA Hongwei +4 more
doaj +1 more source
Gong-kuang zidonghua, 2023 Realizing automatic recognition of coal gangue content during the top coal caving process is an important goal of fully mechanized mining automation. The existing methods for automatic recognition of coal gangue content have problems such as low accuracy
SHI Xiangyu +4 more
doaj +1 more source
Coal-gangue image recognition in fully-mechanized caving face based on random forest
Gong-kuang zidonghua, 2020 Aiming at problems of high difficulty in parameter adjustment, low prediction accuracy and easy over-fitting in present coal-gangue image recognition methods in fully-mechanized caving face, a coal-gangue image recognition method in fully mechanized ...
XUE Guanghui +3 more
doaj +1 more source
An Image Recognition Method for Coal Gangue Based on ASGS-CWOA and BP Neural Network
, 2022 To improve the recognition accuracy of coal gangue images with the back propagation (BP) neural network, a coal gangue image recognition method based on BP neural network and ASGS-CWOA (ASGS-CWOA-BP) was proposed, which makes two key contributions ...
Dongxing Wang, Tingyu Du, Jingxiu Ni
core +1 more source
International Journal of Mining Science and Technology, 2021 A method based on multiple images captured under different light sources at different incident angles was developed to recognize the coal density range in this study.
Feiyan Bai +3 more
doaj +1 more source