Equipment Management Performance Evaluation Method Based on Improved Wavelet Neural Network

Lili Wang, Liang You (), Zhongyi Cai and Jiangang Jin
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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

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 925-935 from Springer

Abstract: 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.

Keywords: equipment management; performance evaluation; neural network (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_91

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