Evaluation of System Capability Based on Optimized Wavelet Neural Network
Aiming at the bottleneck problems such as the lack of effective evaluation methods and the difficulty in quantifying the capabilities of military information system equipment, this paper proposes a system equipment capability evaluation method based on optimized wavelet neural network. Combining the characteristics of weapons and information systems at brigade level, it constructs a four level index system, proposes a system capability verification model based on optimized wavelet neural network, and designs simulation tests, The effectiveness of the method is verified by evaluating the effectiveness of the brigade scale information system equipment system.
Authors
- Chao Zhang (ORCID: https://orcid.org/0000-0003-3709-711X)
- Yunze Wang (ORCID: https://orcid.org/0000-0001-5769-4902)
- Dong Li (ORCID: https://orcid.org/0000-0003-4766-3808)
- Aiwei Zang
Institutions
- Nanjing General Hospital of Nanjing Military Command (CN)
- China Electronics Technology Group Corporation (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/icraic65937.2024.00042
- Primary Topic
- Industrial Technology and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00