
Computational Simulation Analysis for Physical Identifiable Teaching Technology
Author(s) -
Aihui Du
Publication year - 2022
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2022/4130855
Subject(s) - computer science , construct (python library) , rotation (mathematics) , computer technology , teaching method , scaling , mathematics education , translation (biology) , computer engineering , computational science , artificial intelligence , mathematics , programming language , biochemistry , chemistry , geometry , messenger rna , gene
In order to improve the identifiable teaching effect of physics, this paper studies the identifiable teaching technology of physics combined with computer simulation analysis technology, changes the traditional physics teaching method, and studies the identifiable teaching effect of computer simulation algorithm. The advantages are obvious; that is, it overcomes scaling, translation, and rotation and does not require a lot of time to learn samples, etc. In addition, this paper combines the computer simulation analysis technology and the actual needs of physics teaching to construct an intelligent and identifiable teaching system. The experimental research results show that the physics identifiable teaching system based on computer simulation analysis proposed in this paper can play an important role in physics teaching.