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检索条件"主题词=catboost algorithm"
33 条 记 录,以下是21-30 订阅
排序:
Interactive 3D Vase Design Based on Gradient Boosting Decision Trees
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algorithmS 2024年 第9期17卷 407页
作者: Wang, Dongming Xu, Xing Xia, Xuewen Jia, Heming Minnan Normal Univ Coll Phys & Informat Engn Zhangzhou 363000 Peoples R China Sanming Univ Sch Informat Engn Sanming 365004 Peoples R China
Traditionally, ceramic design began with sketches on rough paper and later evolved into using CAD software for more complex designs and simulations. With technological advancements, optimization algorithms have gradua... 详细信息
来源: 评论
Lipoproteins and metabolites in diagnosing and predicting Alzheimer's disease using machine learning
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LIPIDS IN HEALTH AND DISEASE 2024年 第1期23卷 1-12页
作者: Wang, Fenglin Wang, Aimin Huang, Yiming Gao, Wenfeng Xu, Yaqi Zhang, Wenjing Guo, Guiya Song, Wangchen Kong, Yujia Wang, Qinghua Wang, Suzhen Shi, Fuyan Shandong Second Med Univ Sch Publ Hlth Dept Hlth Stat Weifang 261053 Shandong Peoples R China Shandong Second Med Univ Affiliated Hosp Dept Rheumatol & Immunol Weifang 261031 Shandong Peoples R China
Background Alzheimer's disease (AD) is a chronic neurodegenerative disorder that poses a substantial economic burden. The Random forest algorithm is effective in predicting AD;however, the key factors influencing ... 详细信息
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Machine learning prediction of electric flux in concrete and mix proportion optimization design
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MATERIALS TODAY COMMUNICATIONS 2024年 38卷
作者: Dai, Jinpeng Yang, Xiaoyuan He, Jie Wang, Qicai Zhang, Zhijie Lanzhou Jiaotong Univ Natl & Prov Joint Engn Lab Rd & Bridge Disaster Pr Lanzhou 730070 Peoples R China Jiangsu Res Inst Bldg Sci CO LTD State Key Lab High Preformance Civil Engn Mat Nanjing 210008 Peoples R China Southeast Univ Sch Mat Sci & Engn Nanjing 211189 Peoples R China Lanzhou Jiaotong Univ Civil Engn Dept Lanzhou 730070 Peoples R China
This study explored nine machine learning (ML) methods, including linear, nonlinear and integrated learning models, to predict concrete electrical flux metrics reflecting the chloride ion permeability of concrete. Sev... 详细信息
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Techno-economics of high ash coal gasification: A machine learning approach using catboost model
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JOURNAL OF CLEANER PRODUCTION 2024年 481卷
作者: Singh, Dharmendra Kumar Kumar, Sandeep Talaipalli Coal Min Project Lailunga Rd Raigarh 496111 CG India NTPC Sch Business Plot 5-14Sect 16 A Noida 201301 India
This work explores the techno-economics of high ash coal gasification using circulating fluidized bed (CFB) gasifier technology at the Talaipalli Coal Mining Project, India being developed by NTPC Limited. The researc... 详细信息
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Research on Wind Turbine Fault Detection Based on the Fusion of ASL-catboost and TtRSA
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SENSORS 2023年 第15期23卷 6741-6741页
作者: Kong, Lingchao Liang, Hongtao Liu, Guozhu Liu, Shuo Qingdao Univ Sci & Technol Sch Informat Sci & Technol Qingdao 266061 Peoples R China
The internal structure of wind turbines is intricate and precise, although the challenging working conditions often give rise to various operational faults. This study aims to address the limitations of traditional ma... 详细信息
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Space-Time Sea Surface pCO2 Estimation in the North Atlantic Based on catboost
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REMOTE SENSING 2021年 第14期13卷 2805-2805页
作者: Sun, Hongwei He, Junyu Chen, Yihui Zhao, Boyu Zhejiang Univ Ocean Coll Zhoushan 316021 Peoples R China Zhejiang Univ Ocean Acad Zhoushan 316021 Peoples R China Zhejiang Univ Econ Coll Hangzhou 310058 Peoples R China
Sea surface partial pressure of CO2 (pCO(2)) is a critical parameter in the quantification of air-sea CO2 flux, which plays an important role in calculating the global carbon budget and ocean acidification. In this st... 详细信息
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Sensitivity analysis of low salinity waterflood alternating immiscible CO2 injection (Immiscible CO2-LSWAG) performance using machine learning application in sandstone reservoir
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JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY 2024年 第11期14卷 3055-3077页
作者: Efras, Muhammad Ridho Dzulkarnain, Iskandar Ridha, Syahrir Syahputra, Loris Alif Rasool, Muhammad Hammad Merdeka, Mohammad Galang Pramana, Agus Astra Univ Teknol PETRONAS Dept Petr Engn Bandar Seri Iskandar 32610 Perak Malaysia Univ Teknol PETRONAS Inst Sustainable Energy & Resources Bandar Seri Iskandar 32610 Perak Malaysia Univ Teknol PETRONAS Dept Petr Engn Bandar Seri Iskandar 32610 Perak Malaysia Inst Teknol Bandung Dept Petr Engn Bandung 40132 Indonesia Univ Pertamina Dept Petr Engn Jakarta 12220 Indonesia
Low salinity water alternating immiscible gas CO2 (Immiscible CO2-LSWAG) injection is a popular technique for enhanced oil recovery (EOR) that combines the benefits of low salinity and immiscible CO2 flooding to incre... 详细信息
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Prediction of Floor Failure Depth Based on Dividing Deep and Shallow Mining for Risk Assessment of Mine Water Inrush
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WATER 2024年 第19期16卷 2786页
作者: Liu, Weitao Han, Mengke Zhao, Jiyuan Shandong Univ Sci & Technol Coll Safety & Environm Engn Qingdao 266590 Peoples R China Shandong Univ Sci & Technol Coll Energy & Min Engn Qingdao 266590 Peoples R China
Understanding and predicting floor failure depth is crucial for both mitigating mine water inrush hazards and safeguarding groundwater resources. Mining activities can significantly disturb the geological strata, lead... 详细信息
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A novel framework combining production evaluation and quantification of development parameters for shale gas wells
GEOENERGY SCIENCE AND ENGINEERING
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GEOENERGY SCIENCE AND ENGINEERING 2023年 226卷
作者: Niu, Wente Lu, Jialiang Sun, Yuping Mu, Ying Zhang, Jianzhong Guo, Wei Liu, Yuyang Univ Chinese Acad Sci Sch Engn Sci Beijing 101400 Peoples R China Chinese Acad Sci Inst Porous Flow & Fluid Mech Langfang 065000 Peoples R China Res Inst Petr Explorat & Dev Beijing 100089 Peoples R China
Accurate prediction of estimated ultimate recovery (EUR) and quantification of important engineering and geological parameters play a decisive role in production parameter optimization and investment decision of shale... 详细信息
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A machine learning model of liquid bridge force and its application in discrete element method
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CONSTRUCTION AND BUILDING MATERIALS 2024年 411卷
作者: Cui, Hanwen Zhao, Honghua Ji, Shunying Zhang, Xingli Awadalseed, Waleed Tang, Hongxiang Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dalian 116023 Peoples R China Dalian Univ Technol Dept Engn Mech Dalian 116023 Peoples R China Dalian Univ Technol State Key Lab Coastal & Offshore Engn Dalian 116023 Peoples R China
Developing an accurate and efficient contact model for discrete element method (DEM) simulation that can describe the microscopic dynamics of low moisture content wet granular systems continues to be a major challenge... 详细信息
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