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Equipment Management Performance Evaluation Method Based on Improved Wavelet Neural Network

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Lili WANG

    (Air Force Engineering University, Equipment Management and Unmanned Aerial Vehicle Engineering College)

  • Liang YOU

    (Air Force Engineering University, Equipment Management and Unmanned Aerial Vehicle Engineering College)

  • Zhongyi CAI

    (Air Force Engineering University, Equipment Management and Unmanned Aerial Vehicle Engineering College)

  • Jiangang JIN

    (Air Force Engineering University, Equipment Management and Unmanned Aerial Vehicle Engineering College)

Abstract

Because there are many factors affecting enterprise equipment management, the performance evaluation of equipment management is uncertain, and the existing evaluation methods are too subjective. In order to improve this problem, this paper proposes a new method of equipment management performance evaluation using sparrow search algorithm to improve wavelet neural network. Firstly, according to the characteristics of equipment management, the performance evaluation index system of equipment management is established. Secondly, the Sparrow Search Algorithm is used to improve the evaluation accuracy and convergence speed of the Wavelet Neural Network. Finally, the equipment management performance evaluation model is constructed, and the case analysis is carried out. The analysis shows that compared with other neural networks, the improved Wavelet Neural Network has faster convergence speed and better fitting effect, and can effectively carry out equipment management performance evaluation.

Suggested Citation

  • Lili WANG & Liang YOU & Zhongyi CAI & Jiangang JIN, 2024. "Equipment Management Performance Evaluation Method Based on Improved Wavelet Neural Network," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 925-935, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_91
    DOI: 10.2991/978-94-6463-256-9_91
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