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