Decision making methods for formulating the reserve scheme of spare parts based on deep neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-020-01734-4.pdf
Reference20 articles.
1. Butte S, Prashanth AR, Patil S (2018) Machine learning based predictive maintenance strategy: a super learning approach with deep neural networks. In: 2018 IEEE workshop on microelectronics and electron devices (WMED). https://doi.org/10.1109/wmed.2018.8360836
2. Cheng L (2006) Optimization and determination model of spares variety for equipment battlefield repair. Aviat Maint Eng 4:55–57. https://doi.org/10.19302/j.cnki.1672-0989.2006.04.016
3. Cheng L, Han G (2006) Determination model of spares variety for equipment battlefield repair based on FAHP. Military Autom 25:17–19
4. Diro AA, Chilamkurti N (2017) Distributed attack detection scheme using deep learning approach for Internet of Things. Future Gener Comput Syst. https://doi.org/10.1016/j.future.2017.08.043
5. GAD (General Armament Department) (2002) GJB4355-20023 Spare supply planning requirements. GAD (General Armament Department), Beijing
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Developing a TOPSIS algorithm for Q-rung orthopair Z-numbers with applications in decision making;International Journal of System Assurance Engineering and Management;2024-04-25
2. Ranking of components for reliability estimation of CBSS: an application of entropy weight fuzzy comprehensive evaluation model;International Journal of System Assurance Engineering and Management;2024-02-15
3. Development of Smart Pill Expert System Based on IoT;Journal of The Institution of Engineers (India): Series B;2024-02-02
4. Cloud intrusion detection framework using variational auto encoder Wasserstein generative adversarial network optimized with archerfish hunting optimization algorithm;Wireless Networks;2023-12-01
5. Detection of distributed denial of service using deep learning neural network;Journal of Ambient Intelligence and Humanized Computing;2020-05-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3