Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms

Author:

Heo Seok-JaeORCID,Chunwei Zhang,Yu EunjongORCID

Funder

Ministry of Land, Infrastructure and Transport

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Ocean Engineering,Civil and Structural Engineering

Reference29 articles.

1. Bak, C., & Son, H. (2017). Development of prediction model for root industry production process using artificial neural network. Journal of the Korean Society for Precision Engineering, 34(1), 23–27.

2. Barbounis, T. G., Theocharis, J. B., Alexiadis, M. C., & Dokopoulos, P. S. (2006). Long-term wind speed and power forecasting using local recurrent neural network models. IEEE Transactions on Energy Conversion., 21(1), 273–284.

3. Becker, S., & Le Cun, Y. (1988) Improving the convergence of back-propagation learning with second order methods. In Proceedings of the 1988 Connectionist Models Summer School (pp. 29–37). San Matteo: Morgan Kaufmann.

4. Brown, M., & Harris, C. J. (1994). Neurofuzzy adaptive modelling and control. Upper Saddle River: Prentice Hall.

5. Fahlman S. E. (1988). An empirical study of learning speed in back-propagation networks.

Cited by 7 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. Dual-channel heterogeneous network for finger vein recognition based on transfer learning and improved coordinate attention;International Journal of Computing Science and Mathematics;2024

2. Intelligent Backoff Management Scheme Applying Adaptive Neuro-Fuzzy Inference System in Vehicular Ad-hoc Networks;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

3. Automatic floor plan analysis and recognition;Automation in Construction;2022-08

4. A Hybrid Particle Swarm Optimization with Dragonfly for Adaptive ANFIS to Model the Corrosion Rate in Concrete Structures;International Journal of Concrete Structures and Materials;2022-06-02

5. A deep learning‐based HARQ chase combining for FBMC‐OQAM systems;International Journal of Communication Systems;2021-08-26

同舟云学术

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