Simulation of university industry education integration mobile APP learning platform based on deep learning algorithm

Author:

Li Jianzhong1,Wan Qiang2

Affiliation:

1. Guangdong Innovative Technical College

2. South China University of Technology

Abstract

Abstract The process of modern economic development is getting faster and faster, and the overall economic development of the world has also undergone tremendous changes. The rapid development and wide use of high-tech have provided strong technical support for the industrial reform of industrial types. The new economic development model has changed the industrial structure in the previous development model, and China's economic development pattern has also made great progress relying on intelligent technology. The long-term and stable development of various industries is linked to the quality of talents in each school. The development of the new era has prompted colleges and universities to improve the level and efficiency of talent training. New advanced technologies have also provided greater space for colleges and universities to innovate teaching concepts and teaching methods. This paper takes the deep learning algorithm as the technical background of the mobile software learning platform, uses the theoretical knowledge of the algorithm to explain the implementation process and the significance of the implementation of the concept of industry education integration in colleges and universities, and carries out simulation analysis on the designed APP, providing help for the further popularization of the concept of industry education integration.

Publisher

Research Square Platform LLC

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