机构

• 数学与系统科学研究院 [6]
• 自动化研究所 [3]
• 计算技术研究所 [2]
• 力学研究所 [1]
• 地理科学与资源研究所 [1]
• 成都山地灾害与环境研... [1]
• 更多

采集方式

• OAI收割 [16]

内容类型

• 期刊论文 [15]
• 学位论文 [1]

发表日期

• 2024 [1]
• 2023 [2]
• 2022 [2]
• 2021 [8]
• 2020 [1]
• 2018 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共16条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A Deep Learning Method for Dynamic Process Modeling of Real Landslides Based on Fourier Neural Operator 期刊论文  OAI收割 EARTH AND SPACE SCIENCE, 2024, 卷号: 11, 期号: 3, 页码: 13 作者:  Chen, Yanglong;  Ouyang, Chaojun;  Xu, Qingsong;  Yang, Weibin   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/04/19 deep learning  landslide  dynamic process  Fourier neural operator  data-driven method   Infrared small target segmentation networks: A survey 期刊论文  OAI收割 PATTERN RECOGNITION, 2023, 卷号: 143 作者:  Kou, Renke;  Wang, Chunping;  Peng, Zhenming;  Zhao, Zhihe;  Chen, Yaohong   |  收藏  |  浏览/下载：32/0  |  提交时间：2023/08/23 Infrared small target  Characteristic analysis  Segmentation network  Deep learning  Collaborative technology  Data-driven  False alarm  Missed detection   QoE Assessment Model Based on Continuous Deep Learning for Video in Wireless Networks 期刊论文  OAI收割 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2023, 卷号: 22, 期号: 6, 页码: 3619-3633 作者:  Liu, Xuewen;  Chuai, Gang;  Wang, Xin;  Xu, Zhiwei;  Gao, Weidong   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04 Quality of experience  Quality of service  Training  Data models  Wireless networks  Computational modeling  Mobile computing  Data-driven QoE assessment  continual deep learning  QoE  QoS mapping  wireless network  cascaded DNNs   A computational method for the load spectra of large-scale structures with a data-driven learning algorithm 期刊论文  OAI收割 SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2022, 页码: 14 作者:  Chen, XianJia;  Yuan, Zheng;  Li, Qiang;  Sun, ShouGuang;  Wei, YuJie   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/02/09 load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network   Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator 期刊论文  OAI收割 CHAOS SOLITONS & FRACTALS, 2022, 卷号: 165, 页码: 14 作者:  Zhong, Ming;  Yan, Zhenya   |  收藏  |  浏览/下载：22/0  |  提交时间：2023/02/07 Integrable fractional nonlinear wave equations  Fourier neural operator  Deep learning  Data-driven soliton mapping  Activation function  Channel of fully-connected layer   Data-driven peakon and periodic peakon solutions and parameter discovery of some nonlinear dispersive equations via deep learning 期刊论文  OAI收割 PHYSICA D-NONLINEAR PHENOMENA, 2021, 卷号: 428, 页码: 15 作者:  Wang, Li;  Yan, Zhenya   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/04/02 Nonlinear dispersive equation  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven peakon and periodic peakon  solutions Data-driven parameter discovery   A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 265, 页码: 19 作者:  Wang, Han;  Mao, Kebiao;  Yuan, Zijin;  Shi, Jiancheng;  Cao, Mengmeng   |  收藏  |  浏览/下载：63/0  |  提交时间：2021/11/05 Land surface temperature (LST)  Model-data-knowledge-driven  Deep learning  Geophysical logical reasoning  Expert knowledge   Deep learning neural networks for the third-order nonlinear Schrodinger equation: bright solitons, breathers, and rogue waves 期刊论文  OAI收割 COMMUNICATIONS IN THEORETICAL PHYSICS, 2021, 卷号: 73, 期号: 10, 页码: 9 作者:  Zhou, Zijian;  Yan, Zhenya   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/04/02 third-order nonlinear Schrodinger equation  deep learning  data-driven solitons  data-driven parameter discovery   Deep learning neural networks for the third-order nonlinear Schr?dinger equation: bright solitons, breathers, and rogue waves 期刊论文  OAI收割 Communications in Theoretical Physics, 2021, 卷号: 73, 期号: 10 作者:  Zhou,Zijian;  Yan,Zhenya   |  收藏  |  浏览/下载：36/0  |  提交时间：2022/04/02 third-order nonlinear Schr?dinger equation  deep learning  data-driven solitons  data-driven parameter discovery   Data-driven rogue waves and parameter discovery in the defocusing nonlinear Schrodinger equation with a potential using the PINN deep learning 期刊论文  OAI收割 PHYSICS LETTERS A, 2021, 卷号: 404, 页码: 7 作者:  Wang, Li;  Yan, Zhenya   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/10/26 Defocusing NLS equation with the  time-dependent potential  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven rogue waves and parameter discovery