Big Data Analysis and Deep Learning Optimization in Artificial Intelligence Production of Information Enterprises

Authors

  • Na Gao Jilin Province Economic Management Cadre College, ChangChun, Jilin, China
  • Qiuling Lu Jilin Province Economic Management Cadre College, ChangChun, Jilin, China

DOI:

https://doi.org/10.12694/scpe.v25i3.2703

Keywords:

Network optimizing, Big data, smart industries, data mining strategies (DMTs), production control, intelligent manufacturing, statistic evaluation, finding of knowledge.

Abstract

Intelligent manufacturing technology is required to upgrade existing enterprises' management and production operations. To construct a ground breaking fusion structure, this project unites the theoretical underpinnings, technical breakthroughs, and applications of data analytics, optimisation, and intelligent production engineering. It is driven by China's desire of cutting-edge commodities and efficient growth methods. This research establishes the broad framework for merging optimisation and data analytics. There is a list of data analytics and system optimisation technologies that can address important challenges with intelligent manufacturing. By integrating data analytics and optimisation, businesses may better forecasting and management of new terrain, as well as reveal hidden information to increase decision-making efficacy.

 

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Published

2024-04-12

Issue

Section

Special Issue - Deep Learning-Based Advanced Research Trends in Scalable Computing