Distributed Fault Detection in Sensor Networks using a Recurrent Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
http://link.springer.com/content/pdf/10.1007/s11063-013-9327-4.pdf
Reference26 articles.
1. Benaoudaa D, Murtaghb F, Starckc JL, Renaud O (2006) Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting. Neurocomputing 70(1–3):139–154
2. Bengio Y, Simard P, Frasconi P (1994) Learning long-term dependencies with gradient descent is difficult. IEEE Trans Neural Netw 5(2):157–166
3. Boedecker J, Obst O, Mayer NM, Asada M (2009) Initialization and self-organized optimization of recurrent neural network connectivity. HFSP J 3(5):340–349
4. Chang M, Terzis A, Bonnet P (2009) Mote-based online anomaly detection using echo state networks. In: DCOSS ’09 proceedings of the 5th IEEE international conference on distributed computing in sensor systems. Springer, Berlin, pp 72–86
5. Corke P, Valencia P, Sikka P, Wark T, Overs L (2007) Long-duration solar-powered wireless sensor networks. In: EmNets ’07 proceedings of the 4th workshop on embedded networked sensors. ACM, New York, pp 33–37
Cited by 22 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. Improved bidirectional echo state network-based time series reconstruction and prediction for structural response;Structural Health Monitoring;2024-06-13
2. Utilizing Machine Learning for Sensor Fault Detection in Wireless Sensor Networks;2024 26th International Conference on Advanced Communications Technology (ICACT);2024-02-04
3. An IoT-Based Anomaly Detection and Identification Approach for Gas Sensor Networks;2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT);2023-06-06
4. Research on Fault Diagnosis Technology of Industrial Robot Operation Based on Deep Belief Network;Scientific Programming;2022-07-05
5. Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive Survey;Wireless Personal Communications;2022-07-03
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