Research on the Chinese Characteristics Advanced Apprenticeship Training Model Based on Embedded Neural Network Analysis

Abstract

In order to deeply analyze the feasibility and optimization strategies of this model in vocational education, this paper focuses on the application of embedded neural network technology. By comparing with other talent cultivation models, especially delving into the essence of project-based teaching, this paper defines the practical, refined, and entrepreneurial characteristics unique to project-based teaching under modern apprenticeship systems. These characteristics constitute the core competitiveness of the advanced apprenticeship training model. This paper emphasizes the establishment of a quality management system based on standards, rigorous processes, and customized solutions. Embedded neural networks, with their powerful data processing and pattern recognition capabilities, help this paper reveal the significant advantages of this training model in resource integration, personalized teaching, skill inheritance, and market docking.