Research on Algorithms of Fusion System of Artificial Intelligence University Curriculum Derivatives Based on Internet Big Data. Issue 4 (June 2021)
- Record Type:
- Journal Article
- Title:
- Research on Algorithms of Fusion System of Artificial Intelligence University Curriculum Derivatives Based on Internet Big Data. Issue 4 (June 2021)
- Main Title:
- Research on Algorithms of Fusion System of Artificial Intelligence University Curriculum Derivatives Based on Internet Big Data
- Authors:
- Wang, Yue
Sun, Rui
Sun, Weidong
Yu, Tianbo - Abstract:
- Abstract: With the rapid development of artificial intelligence technology and the rapid progress of big data technology, based on the theory of artificial intelligence fusion systems based on the lives of college students, and the use of advanced technology, university courses have also expanded in multiple directions. A reasonable and scientific development model of electronic technology design. Derived by using electronic data as a carrier to optimize the derivative tools of university courses and improve performance in many aspects such as learning and sports. Using the empirical formula of the Big Data Fourier algorithm, the manual verification was verified through the statistical comparison and analysis of the competitive auxiliary review system. The application of intelligent systems in the fusion system of university curriculum derivatives and artificial intelligence algorithms based on Internet big data play an active role in the fusion system of university curriculum derivatives.
- Is Part Of:
- Journal of physics. Volume 1952:Issue 4(2021)
- Journal:
- Journal of physics
- Issue:
- Volume 1952:Issue 4(2021)
- Issue Display:
- Volume 1952, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 1952
- Issue:
- 4
- Issue Sort Value:
- 2021-1952-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-06
- Subjects:
- Big data -- Internet -- deep functions -- artificial intelligence -- university curriculum derivatives integration system
Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1952/4/042044 ↗
- 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:
- 17479.xml