机构

• 工程热物理研究所 [9]
• 地理科学与资源研究所 [6]
• 力学研究所 [3]
• 数学与系统科学研究院 [3]
• 沈阳自动化研究所 [3]
• 金属研究所 [2]
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采集方式

• OAI收割 [41]
• iSwitch采集 [3]

内容类型

• 期刊论文 [30]
• 会议论文 [12]
• SCI/SSCI论文 [1]
• 学位论文 [1]

发表日期

• 2024 [1]
• 2022 [3]
• 2021 [5]
• 2020 [3]
• 2019 [4]
• 2018 [1]
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学科主题

• Aircraft E... [2]
• Agronomy [1]
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• Forestry [1]
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筛选

浏览/检索结果: 共44条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Sustainable decision making based on systems integration and decision support system promoting endorheic basin sustainability 期刊论文  OAI收割 DECISION SUPPORT SYSTEMS, 2024, 卷号: 179, 页码: 10 作者:  Ge, Yingchun;  Han, Feng;  Wu, Feng;  Zhao, Yanbo;  Li, Hongyi   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/03/10 Sustainable development goals (SDGs)  River basin decision support system  Scenario analysis  Surrogate modeling  Decision rehearsal  Watershed-scaled RCP-SSPs   Thermal design parameters analysis and model updating using Kriging model for space instruments 期刊论文  OAI收割 International Journal of Thermal Sciences, 2022, 卷号: 171, 期号: 10 作者:  Q. L. Cui;  G. Y. Lin;  D. S. Cao;  Z. H. Zhang;  S. R. Wang and Y. Huang   |  收藏  |  浏览/下载：20/0  |  提交时间：2022/06/13 Surrogate modeling for spacecraft thermophysical models using deep learning 期刊论文  OAI收割 Neural Computing & Applications, 2022, 卷号: 34, 期号: 19, 页码: 16577-16603 作者:  Y. Xiong;  L. Guo;  Y. Zhang;  M. X. Xu;  D. F. Tian and M. Li   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/06/14 Modeling of Nonlinear Beam Dynamics via a Novel Particle-Mesh Method and Surrogate Models with Symplectic Neural Networks 会议论文  OAI收割 USA, 2022 作者:  C.-K. Huang;  O. Beznosov;  J.W. Burby;  B.E. Carlsten;  G.A. Dilts   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/01/05 Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 99, 期号: 99, 页码: 10 作者:  Ye, Peijun;  Chen, Yuanyuan;  Zhu, Fenghua;  Lv, Yisheng;  Lu, Wanze   |  收藏  |  浏览/下载：15/0  |  提交时间：2022/01/27 Calibration  Computational modeling  Mathematical model  Machine learning  Aggregates  Optimization  Bayes methods  Agent-based model (ABM)  calibration  Markovian process   Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2021, 卷号: 141, 页码: 15 作者:  Li, Xin;  Zhang, Ling;  Zheng, Yi;  Yang, Dawen;  Wu, Feng   |  收藏  |  浏览/下载：58/0  |  提交时间：2021/08/19 Watershed system model  Human-nature system  Decision support system  Water resource management  Heihe river basin  Endorheic river basin   Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2021, 卷号: 141, 页码: - 作者:  Li, Xin;  Zhang, Ling;  Zheng, Yi;  Yang, Dawen;  Wu, Feng   |  收藏  |  浏览/下载：24/0  |  提交时间：2021/12/21 Watershed system model  Human-nature system  Decision support system  Water resource management  Heihe river basin  Endorheic river basin   Surrogate Modeling for MUED with Neural Networks 会议论文  OAI收割 Brazil, 2021 作者:  D.J. Monk;  S. Biedron;  M.A. Fazio;  M. Martínez-Ramón;  S.I. Sosa Guitron   |  收藏  |  浏览/下载：4/0  |  提交时间：2022/01/18 A Surrogate-Assisted Many-Objective Evolutionary Algorithm Using Multi- Classification and Coevolution for Expensive Optimization Problems 期刊论文  OAI收割 IEEE ACCESS, 2021, 卷号: 9, 页码: 159160-159174 作者:  Wang, Ruoyu;  Zhou, Yuee;  Chen HN(陈瀚宁);  Ma LB(马连博);  Zheng M(郑萌)   |  收藏  |  浏览/下载：35/0  |  提交时间：2021/12/20 Statistics  Sociology  Optimization  Computational modeling  Evolutionary computation  Training  Linear programming  Coevolution  expensive optimization  multi-classification  surrogate-assisted evolutionary algorithm   An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems 期刊论文  OAI收割 COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205 作者:  Yan, Liang;  Zhou, Tao   |  收藏  |  浏览/下载：40/0  |  提交时间：2021/01/14 Bayesian inverse problems  deep neural networks  multi-fidelity surrogate modeling  Markov chain Monte Carlo