机构

• 地理科学与资源研究所 [5]
• 数学与系统科学研究院 [3]
• 自动化研究所 [2]
• 烟台海岸带研究所 [2]
• 成都山地灾害与环境研... [1]
• 计算技术研究所 [1]
• 更多

采集方式

• OAI收割 [18]

内容类型

• 期刊论文 [16]
• 会议论文 [1]
• 学位论文 [1]

发表日期

• 2026 [1]
• 2024 [1]
• 2023 [2]
• 2022 [3]
• 2021 [6]
• 2020 [1]
• 更多

学科主题

• Engineerin... [1]

筛选

浏览/检索结果: 共18条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Observation-Constrained Physical Snow Water Equivalent Simulations Using a Physics-Guided Machine Learning Approach 期刊论文  OAI收割 WATER RESOURCES RESEARCH, 2026, 卷号: 62, 期号: 3, 页码: e2025WR041406 作者:  Zhao, Wenli;  Fang, Jianing;  Yang, Tao;  Lian, Xu;  Winkler, Alexander J.   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/04/16 snow water equivalent  land surface model  bias corrections  machine learning  hybrid model  physics guided   A GSD-driven approach to deriving stochastic soil strength parameters under hybrid machine learning models 期刊论文  OAI收割 EUROPEAN JOURNAL OF SOIL SCIENCE, 2024, 卷号: 75, 期号: 6, 页码: 18 作者:  Jiang, Hu;  Li, Yong;  Zou, Qiang;  Zhang, Jun;  Cui, Junfang   |  收藏  |  浏览/下载：44/0  |  提交时间：2025/01/15 grain-size distribution  Hengduan mountain  hybrid machine learning models  regional physical modelling  stochastic soil strength parameters   A Review of Application of Machine Learning in Storm Surge Problems 期刊论文  OAI收割 JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 9, 页码: 35 作者:  Qin, Yue;  Su, Changyu;  Chu, Dongdong;  Zhang, Jicai;  Song, Jinbao   |  收藏  |  浏览/下载：35/0  |  提交时间：2024/11/02 storm surge prediction  machine learning  hybrid methods  physics-informed neural networks   A Review of Application of Machine Learning in Storm Surge Problems 期刊论文  OAI收割 JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 9, 页码: 35 作者:  Qin, Yue;  Su, Changyu;  Chu, Dongdong;  Zhang, Jicai;  Song, Jinbao   |  收藏  |  浏览/下载：61/0  |  提交时间：2023/11/15 storm surge prediction  machine learning  hybrid methods  physics-informed neural networks   Compressive strength prediction of sprayed concrete lining in tunnel engineering using hybrid machine learning techniques 期刊论文  OAI收割 UNDERGROUND SPACE, 2022, 卷号: 7, 期号: 5, 页码: 928 作者:  Yin, Xin;  Gao, Feng;  Wu, Jian;  Huang, Xing;  Pan, Yucong   |  收藏  |  浏览/下载：45/0  |  提交时间：2023/08/02 Intelligent construction  Hybrid machine learning  Sprayed concrete lining  Compressive strength prediction  Tunnel engineering   A novel machine learning-based electricity price forecasting model based on optimal model selection strategy 期刊论文  OAI收割 ENERGY, 2022, 卷号: 238, 页码: 14 作者:  Yang, Wendong;  Sun, Shaolong;  Hao, Yan;  Wang, Shouyang   |  收藏  |  浏览/下载：62/0  |  提交时间：2022/04/02 Electricity price  Forecasting  Hybrid model  Model selection  Kernel-based extreme learning machine   Optimal design of large-scale solar-aided hydrogen production process via machine learning based optimisation framework 期刊论文  OAI收割 APPLIED ENERGY, 2022, 卷号: 305, 页码: 18 作者:  Wang, Wanrong;  Ma, Yingjie;  Maroufmashat, Azadeh;  Zhang, Nan;  Li, Jie   |  收藏  |  浏览/下载：52/0  |  提交时间：2022/06/15 Solar energy  Hydrogen  Machine learning  Hybrid optimization algorithm  Surrogate model   Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm 期刊论文  OAI收割 RESOURCES POLICY, 2021, 卷号: 74, 页码: 10 作者:     |  收藏  |  浏览/下载：90/0  |  提交时间：2022/04/02 Metal prices forecasting  Data processing method  Optimized extreme learning machine  Hybrid forecasting model   Planning maize hybrids adaptation to future climate change by integrating crop modelling with machine learning 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH LETTERS, 2021, 卷号: 16, 期号: 12, 页码: 14 作者:  Zhang, Liangliang;  Zhang, Zhao;  Tao, Fulu;  Luo, Yuchuan;  Cao, Juan   |  收藏  |  浏览/下载：53/0  |  提交时间：2022/09/21 climate change impact  adaptation  hybrid ideotype  food security  machine learning   Hybrid Models Incorporating Bivariate Statistics and Machine Learning Methods for Flash Flood Susceptibility Assessment Based on Remote Sensing Datasets 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 23, 页码: 26 作者:  Liu, Jun;  Wang, Jiyan;  Xiong, Junnan;  Cheng, Weiming;  Sun, Huaizhang   |  收藏  |  浏览/下载：52/0  |  提交时间：2022/09/21 flood susceptibility  bivariate statistics models  machine learning models  hybrid models