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检索条件"主题词=Optimal hyperparameters"
6 条 记 录,以下是1-10 订阅
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Calibrating microparameters of DEM models by using CEM, DE, EFO, MFO, SSO algorithms and the optimal hyperparameters
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COMPUTATIONAL PARTICLE MECHANICS 2024年 第2期11卷 839-852页
作者: Wang, Min Lu, Zhenxing Zhao, Yanlin Wan, Wen Hunan Univ Sci & Technol Sch Mech Engn Xiangtan Peoples R China Hunan Univ Sci & Technol Sch Resource Environm & Safety Engn Xiangtan Peoples R China
The Particle Flow Code is a typical DEM numerical software;however, the microparameters of DEM models need to be calibrated before numerical simulation. In most cases, the trial-and-error method is used;however, it ta... 详细信息
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An Enhanced Ensemble-Based Long Short-Term Memory Approach for Traffic Volume Prediction
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Computers, Materials & Continua 2024年 第3期78卷 3585-3602页
作者: Duy Quang Tran Huy Q.Tran Minh Van Nguyen Faculty of Civil Engineering Nha Trang UniversityNha Trang650000Vietnam Robotics and Mechatronics Research Group Faculty of Engineering and TechnologyNguyen Tat Thanh UniversityHo Chi Minh City700000Vietnam Department of Civil Engineering Ho Chi Minh City University of Technology and EducationHo Chi Minh City700000Vietnam
With the advancement of artificial intelligence,traffic forecasting is gaining more and more interest in optimizing route planning and enhancing service *** volume is an influential parameter for planning and operatin... 详细信息
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Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation
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JOURNAL OF FORECASTING 2020年 第6期39卷 934-943页
作者: Chan, Joshua C. C. Jacobi, Liana Zhu, Dan Purdue Univ Dept Econ W Lafayette IN 47907 USA Univ Technol Sydney Econ Discipline Grp Sydney NSW Australia Univ Melbourne Dept Econ Melbourne Vic Australia Monash Univ Dept Business Stat & Econometr Clayton Vic 3168 Australia
Large Bayesian vector autoregressions with the natural conjugate prior are now routinely used for forecasting and structural analysis. It has been shown that selecting the prior hyperparameters in a data-driven manner... 详细信息
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Short-term industrial load forecasting based on Bi-LSTM optimized by SSA and Dropout  11
Short-term industrial load forecasting based on Bi-LSTM opti...
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11th International Conference on Information Technology - IoT and Smart City (ITIoTSC)
作者: Ying, Zhangchi Xu, Haiyang Zhou, Yang Wu, Xuan He, Dong State Grid Zhejiang Elect Power Co Ltd Informat & Commun Branch Hangzhou 310000 Peoples R China State Grid Yiwu Power Supply Co Yiwu 322000 Zhejiang Peoples R China Zhejiang Univ Coll Comp Sci & Technol Hangzhou 310030 Peoples R China
Accurate prediction of industrial load is a crucial step in the development of smart grids. Industrial load forecasting is fundamentally a time series forecasting problem. Traditional time series forecasting models st... 详细信息
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Asymmetric conjugate priors for large Bayesian VARs
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QUANTITATIVE ECONOMICS 2022年 第3期13卷 1145-1169页
作者: Chan, Joshua C. C. Purdue Univ Dept Econ W Lafayette IN 47907 USA
Large Bayesian VARs are now widely used in empirical macroeconomics. One popular shrinkage prior in this setting is the natural conjugate prior as it facilitates posterior simulation and leads to a range of useful ana... 详细信息
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Influence of Random Forest Hyperparameterization on Short-Term Runoff Forecasting in an Andean Mountain Catchment
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ATMOSPHERE 2021年 第2期12卷 238页
作者: Contreras, Pablo Orellana-Alvear, Johanna Munoz, Paul Bendix, Jorg Celleri, Rolando Univ Cuenca Dept Recursos Hidr & Ciencias Ambientales EC-10207 Cuenca Ecuador Univ Marburg Fac Geog Lab Climatol & Remote Sensing D-035032 Marburg Germany Univ Cuenca Fac Ingn EC-10207 Cuenca Ecuador
The Random Forest (RF) algorithm, a decision-tree-based technique, has become a promising approach for applications addressing runoff forecasting in remote areas. This machine learning approach can overcome the limita... 详细信息
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