Application Electrical Engineering Training and Intelligent Technology of Electrical and Electronic Technology under Artificial Intelligence Technology

Abstract

With the advancement of contemporary industrial technology and the changing times, computer technology has advanced significantly, leading to the introduction of a novel idea: artificial intelligence. Since electricity makes up the majority of contemporary life, electronic technology has advanced quickly in the present period. Although electronic technology provides the foundation for the development of contemporary intelligent technology, the original electrical and electronic technology is no longer able to compete with it. Thus, this paper's goal is to examine the utilization of electrical engineering training and intelligent electrical and electronic technology using artificial intelligence technology. This study examines the algorithms created by artificial intelligence and the fundamental functioning of intelligent objects after reviewing the history of electrical engineering as well as the evolution, state, and future directions of electrical and electronic technology. Electrical engineering is trained using the enhanced adaptive parameter DBSCAN clustering method, which also serves as a reference for electrical and electronic technological intelligence. The experimental findings demonstrate that an effective algorithm may accelerate electrical engineering training and the intelligent advancement of electrical and electronic technologies.