RETRACTED: Research on image classification method based on convolutional neural network (Retracted article. See DEC, 2022)

被引:7
|
作者
Li, Daming [1 ,2 ]
Deng, Lianbing [3 ]
Cai, Zhiming [2 ]
机构
[1] Zhuhai Da Hengqin Sci & Technol Dev Co Ltd, Postdoctoral Res Ctr, Hengqin New Area, Peoples R China
[2] City Univ Macau, Inst Data Sci, Macau, Peoples R China
[3] Zhuhai Da Hengqin Sci & Technol Dev Co Ltd, Zhuhai, Peoples R China
来源
NEURAL COMPUTING & APPLICATIONS | 2021年 / 33卷 / 14期
基金
中国博士后科学基金; 国家重点研发计划;
关键词
Convolutional neural network; Image classification; Activation function; Improved algorithm;
D O I
10.1007/s00521-020-04930-7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Image classification method is currently the more popular image technology, but it still has certain problems in practice. In order to improve the image classification effect, this study proposes a new convolution kernel, which can effectively detect the corresponding features with different transformations by actively transforming the relative positions of the connections in the convolution kernel. Moreover, in a network, replacing a traditional convolution kernel with a complex convolution kernel can significantly improve network performance. In order to verify the performance of the image classification method proposed in this study, the performance comparison of the algorithm was performed by setting a control experiment. The research results show that the proposed method has certain effects and can provide theoretical reference for subsequent related research.
引用
收藏
页码:8157 / 8167
页数:11
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