Coal and gangue image classification model based on improved feedback neural network
The existing image classification methods based on deep learning have the problems of the large number of classification model parameters, long time consumption and low classification precision. It is difficult to achieve a compromise between the portability of the model and the classification preci...
Main Author: | YAN Honglin |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Industry and Mine Automation
2022-08-01
|
Series: | Gong-kuang zidonghua |
Subjects: | |
Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022050026 |
Similar Items
-
Research on image classification of coal and gangue based on a lightweight convolution neural network
by: Zhenguan Cao, et al.
Published: (2023-09-01) -
Improved ORB-FLANN efficient matching method for coal gangue image
by: Hongwei MA, et al.
Published: (2024-01-01) -
An Image Recognition Method for Coal Gangue Based on ASGS-CWOA and BP Neural Network
by: Dongxing Wang, et al.
Published: (2022-04-01) -
Automatic Coal and Gangue Segmentation Using U-Net Based Fully Convolutional Networks
by: Rong Gao, et al.
Published: (2020-02-01) -
Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning
by: Yuanyuan Pu, et al.
Published: (2019-05-01)