Research on Convolution Neural Network Optimization and Its Application in Image Recognition

Sheng CHANG; Lele LV

doi:10.47297/taposatWSP2633-456903.20200104

PDF
导出
分享
收藏
专辑

Research on Convolution Neural Network Optimization and Its Application in Image Recognition

1卷第4期

浏览量: 0 Downloads: 2

Research on Convolution Neural Network Optimization and Its Application in Image Recognition
Research on Convolution Neural Network Optimization and Its Application in Image Recognition
1. Beijing North-Star Technology Development Co., Ltd.
2. National Computer System Engineering Research Institute of China
2020年1卷第4期页码：16-20
DOI：10.47297/taposatWSP2633-456903.20200104
Accepted：

Scan QR Code

Sheng CHANG & Lele LV. (2020). Research on Convolution Neural Network Optimization and Its Application in Image Recognition. 科学技术理论与实践（英文版）, 1(4), 16-20.

SHENG CHANG & LELE LV. (2020). Research on Convolution Neural Network Optimization and Its Application in Image Recognition. Theory and Practice of Science and Technology, 1(4), 16-20..
Sheng CHANG & Lele LV. (2020). Research on Convolution Neural Network Optimization and Its Application in Image Recognition. 科学技术理论与实践（英文版）, 1(4), 16-20. DOI： 10.47297/taposatWSP2633-456903.20200104.

SHENG CHANG & LELE LV. (2020). Research on Convolution Neural Network Optimization and Its Application in Image Recognition. Theory and Practice of Science and Technology, 1(4), 16-20.. DOI： 10.47297/taposatWSP2633-456903.20200104.

摘要

Abstract

The traditional neural network (CNN) is a modern multidimensional artificial supervised learning neural network system

which effectively solves the problem of difficulty in tradition alrecognition pattern extraction. It not only has the advantages of traditional neural network

such as high faulttolerance

adaptability and selfstudy habits

but also adds automatic extraction skills to realize the goal of weight sharing. Therefore

it is widely used in the field of image recognition

object detection

recognition and target tracking. The network structure optimization of convolution neural network in the application process can directly improve the accuracy of recognition.

关键词

Keywords

Convolution neural network optimizationGraphic recognition applicationsNetwork structure

references

文章被引用时，请邮件提醒。

Submit

No data

Related Author

No data

Related Institution

No data

⁰