Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
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Article Number | 01070 | |
Number of page(s) | 4 | |
Section | Intelligent Environmental Monitoring and Quality Technology Assessment | |
DOI | https://doi.org/10.1051/e3sconf/202125301070 | |
Published online | 06 May 2021 |
Application Electrical Engineering Training and Intelligent Technology of Electrical and Electronic Technology under Artificial Intelligence Technology
Chongqing Industry & Trade Polytechnic, Chongqing , China , 408000
With the development of the times and the improvement of modern industrial technology, computer technology has been greatly developed, so a new concept has been put forward, that is, artificial intelligence. And the composition of modern life is mainly electricity, so in the current era, electronic technology has been rapidly developed. But the original electrical and electronic technology can no longer match today's intelligent technology, but electronic technology is the basis of the development of modern intelligent technology. Therefore, the purpose of this paper is to use artificial intelligence technology to study the application of electrical engineering training and intelligent technology of electrical and electronic technology. After consulting the history of electrical engineering and the development, current situation and future development direction of electrical and electronic technology, this paper reviews the algorithms constructed by artificial intelligence and the basic operation of intelligent things. The improved adaptive parameter DBSCAN clustering algorithm is used to train electrical engineering and to make reference for the intelligence of electrical and electronic technology. The experimental results show that a good algorithm can speed up the training degree of electrical engineering and speed up the intelligent progress of electrical and electronic technology.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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