Multi-scale Hybrid Pooling Convolutional Neural Network Algorithm

被引：0
|
作者：
Zhao, Nan [1 ,2 ]
Wang, Xin [2 ]
Li, Ying-na [1 ]
Wu, Sheng [1 ]
机构：
[1] Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China
[2] Yunnan Power Gird Co Elect Power Res Inst, Kunming 650217, Yunnan, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL, AUTOMATION AND ROBOTICS (ECAR 2018) | 2018年 / 307卷
关键词：
MSHP-CNN; Image processing; Data processing;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
With the popularization of the modern Internet and the rise of the mobile Internet, the data content of computer processing is more and more diverse. In this paper, we propose a multi-scale hybrid pooling algorithm based on convolutional neural network model, through convolution. The layer convolution method and the pooling mechanism of the pooling layer are improved to improve the generalization ability of the overall model.
引用
收藏
页码：339 / 342
页数：4
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