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The Frontiers of Society, Science and Technology, 2024, 6(1); doi: 10.25236/FSST.2024.060126.

Research on Deep Learning Programming Methods and Systems Based on Digital Mirror Platforms


Yuqiang Tan, Yanbin Long

Corresponding Author:
Yuqiang Tan

University of Science and Technology Liaoning, Anshan, Liaoning, China


This paper introduces a deep learning programming method and system based on a digital mirror platform. It involves several key steps: acquiring equipment operation data from various terminal equipment across diverse business processes, including the process numbers of each suboperation. We then compare and analyze the data modeling of this equipment operation data from different terminal equipment. Based on the analysis results, we determine if the terminal equipment requires upgrading or optimization.


Digital Mirroring Platform, Deep Learning, Programming Methods

Cite This Paper

Yuqiang Tan, Yanbin Long. Research on Deep Learning Programming Methods and Systems Based on Digital Mirror Platforms. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 1: 155-165. https://doi.org/10.25236/FSST.2024.060126.


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