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Multi-system fusion based on deep neural network and cloud edge computing and its application in intelligent manufacturing

  • special issue on Multi-modal Information Learning and Analytics on Big Data
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Abstract

Deep neural network is an important computer operating system in China. It has made great breakthroughs in target recognition, image classification and other fields. It plays a key role in multi-system integration and intelligent manufacturing industry, such as training and testing. The purpose of this paper is to study the multi-system fusion of deep neural network and its application in intelligent manufacturing industry. By setting up experiments, the multi-system fusion of neural network is carried out, combining with big data and artificial intelligence to verify the efficient operation of neural network in multi-system fusion. Using the methods of mathematical analysis and big data fitting, the collected data are classified, the experimental data are collected and then analyzed. In this paper, the reliability of this method is verified by research; the application of multi-system fusion based on deep neural network in intelligent manufacturing industry can effectively integrate all systems, improve the comprehensive working efficiency of each system by about 20% and improve the multi-system fusion of deep neural network and its application in intelligent manufacturing industry by about 15%. Thus, as the terminal of the system, the deep neural network plays the leading role of multiple systems. It can effectively integrate the various systems and improve the comprehensive work efficiency of each system, which has guiding significance for the development of industry.

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Acknowledgements

This work is supported by Fund for Reserve Academic Leader 2020–2022 granted by Capital University of Economics and Business and Special Fund for Fundamental Scientific Research of the Beijing Colleges in CUEB granted by Capital University of Economics and Business.

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Authors and Affiliations

  1. School of Statistics, Capital University of Economics and Business, Beijing, 100070, China

    Linyuan Fan

  2. School of Aerospace Engineering, Tsinghua University, Beijing, 100084, China

    Liang Zhang

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  1. Linyuan Fan
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  2. Liang Zhang
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Correspondence to Liang Zhang.

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Fan, L., Zhang, L. Multi-system fusion based on deep neural network and cloud edge computing and its application in intelligent manufacturing. Neural Comput & Applic 34, 3411–3420 (2022). https://doi.org/10.1007/s00521-021-05735-y

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