Image Search System Based on Machine Learning. Issue 1 (January 2022)
- Record Type:
- Journal Article
- Title:
- Image Search System Based on Machine Learning. Issue 1 (January 2022)
- Main Title:
- Image Search System Based on Machine Learning
- Authors:
- Wang, HongLin
- Abstract:
- Abstract: Since the 21st century, with the continuous maturity of network technology and its integration with the education field, traditional face-to-face communication has gradually expanded to the virtual network environment. In the online learning environment, students can use the online platform to communicate directly with teachers, no longer limited by time and region. The time and space breakthrough of teacher-student interaction has brought development opportunities for teachers to constantly contact students with a long-term management mechanism. Based on this situation, this article uses artificial intelligence technology to build a network communication platform. This article first analyzes the application status of artificial intelligence technology in the network communication platform, and then introduces the artificial intelligence technology applied in this article. Then, this article uses artificial intelligence technology to design a network communication platform, and test the function and performance of the platform. The test results show that the function of the system is very accurate and reliable, and the performance of the system is sufficient to support nearly 10, 000 users at the same time.
- Is Part Of:
- Journal of physics. Volume 2146:Issue 1(2022)
- Journal:
- Journal of physics
- Issue:
- Volume 2146:Issue 1(2022)
- Issue Display:
- Volume 2146, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 2146
- Issue:
- 1
- Issue Sort Value:
- 2022-2146-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- Artificial Intelligence -- E-learning -- Long-term Management Mechanism -- Network Communication Platform
Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/2146/1/012026 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22012.xml