Earticle

초록

영어

Convolutional neural networks are a technology that combines artificial neural networks and recent deep learning methods. They have been applied to many image recognition tasks and have attracted the attention of the researchers of many countries in recent years. This paper summarizes the latest development of convolutional neural networks and expounds the relative research of image recognition technology and elaborates on the application of convolutional neural networks in handwritten numeral recognition.

목차

Abstract
 1. Introduction
 2. The Development of Convolutional Neural Networks
 3. The Relative Research of Image Recognition Technology
 4. The Application of Convolutional Neural Networks in Handwritten Numeral Recognition.
  4.1.The MNIST Database of Handwritten Digits
  4.2.The Working Mode of Convolutional Neural Network Model
  4.3 The Structure of the Convolutional Neural Network Models Adopted in This Paper
  4.4. The Experiment Result
 5. Conclusion
 References

키워드

저자

• Xiaofeng Han [ College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, China ]
• Yan Li [ College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605