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检索条件"主题词=Xgboost Algorithm"
190 条 记 录,以下是151-160 订阅
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Multi-factor offshore short-term wind power prediction based on xgboost
Multi-factor offshore short-term wind power prediction based...
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第35届中国控制与决策会议
作者: Yuhan Zhang Bin Wang Wanwan Xu Wuhan University of Science and Technology Wuhan University of Science and Technology School of Information Science and Engineering
Fast and accurate wind power prediction is important for grid-connected operation and grid dispatch of offshore wind power.A gated recurrent neural network(GRU)multi-factor prediction model based on extreme gradient b... 详细信息
来源: 评论
Exploring the influencing factors of Chinese rural households? clean heating choice considering the attitude-behavior gap based on two-level classification methods
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ENERGY AND BUILDINGS 2022年 273卷
作者: Li, Na Luo, Xi Luo, Fuzhou Zhang, Dingyu Liu, Jianghua Gao, Yaru Xing, Menglin Zhou, Tingting Zhu, Kexin Xian Univ Architecture & Technol Sch Management Xian 710055 Peoples R China Xian Univ Architecture & Technol Sch Bldg Serv Sci & Engn State Key Lab Green Bldg Western China Xian 710055 Peoples R China Tsinghua Univ Sch Environm Beijing 100084 Peoples R China
Although the Chinese government accelerated the clean heating transition in rural areas, the phe-nomenon of households returning to bulk coal heating remains. In previous studies applying customer satisfaction index m... 详细信息
来源: 评论
Faulty feeder detection method for SLG faults in distribution networks based on comprehensive fault characteristics across entire frequency spectrum
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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2022年 140卷
作者: Yuan, Jiawei Hu, Yanjie Jiao, Zaibin Xi An Jiao Tong Univ Sch Elect Engn Xianning West Rd 28 Xian 710000 Peoples R China
In the event of a single line-to-ground fault in a non-effectively grounded distribution network, reliable detection and isolation of faulty feeders aid in ensuring safe network operation. To improve the accuracy and ... 详细信息
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G-DipC: An Improved Feature Representation Method for Short Sequences to Predict the Type of Cargo in Cell-Penetrating Peptides
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IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2020年 第3期17卷 739-747页
作者: Wang, Shunfang Cao, Zicheng Li, Mingyuan Yue, Yaoting Yunnan Univ Sch Informat Sci & Engn Dept Comp Sci & Engn Kunming 650504 Yunnan Peoples R China Sun Yat Sen Univ Sch Publ Hlth Shenzhen Guangzhou 510006 Peoples R China Fudan Univ Sch Informat Sci & Technol Dept Elect Engn Shanghai 200433 Peoples R China
Cell-penetrating peptides (CPPs) are functional short peptides with high carrying capacity. CPP sequences with targeting functions for the highly efficient delivery of drugs to target cells. In this paper, which is fo... 详细信息
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Credit Card Fraud Detection Based on Hyperparameters Optimization Using the Differential Evolution
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INTERNATIONAL JOURNAL OF INFORMATION SECURITY AND PRIVACY 2022年 第1期16卷
作者: Tayebi, Mohammed El Kafhali, Said Hassan First Univ Settat Fac Sci & Tech IR2M Lab Settat Morocco
Due to the emigration of world business to the internet, credit cards have become a tool for payments for both online and outline purchases. However, fraudsters try to attack those systems using various techniques, an... 详细信息
来源: 评论
Preparation of C4 Olefins based on xgboost Model
International Core Journal of Engineering
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International Core Journal of Engineering 2022年 第3期8卷 433-438页
作者: Zeyuan Li Ziang Chen Xirui Lv
By analyzing the experimental data of C4 olefin preparation process, an optimization model based on xgboost algorithm is established to solve the optimal catalyst combination with the highest target yield. Firstly, un... 详细信息
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Application of the xgboost Machine Learning Method in PM2.5 Prediction: A Case Study of Shanghai
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AEROSOL AND AIR QUALITY RESEARCH 2020年 第1期20卷 128-138页
作者: Ma, Jinghui Yu, Zhongqi Qu, Yuanhao Xu, Jianming Cao, Yu Fudan Univ Shanghai 200433 Peoples R China Shanghai Typhoon Inst Shanghai Meteorol Serv Shanghai 200030 Peoples R China Shanghai Meteorol Serv Shanghai Key Lab Meteorol & Hlth Shanghai 200030 Peoples R China Anhui Prov Key Lab Atmospher Sci & Satellite Remo Hefei 230000 Peoples R China
Air quality forecasting is crucial to reducing air pollution in China, which has detrimental effects on human health. Atmospheric chemical-transport models can provide air pollutant forecasts with high temporal and sp... 详细信息
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Optimization of C4 Olefin Yield based on BAS-xgboost Model
International Core Journal of Engineering
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International Core Journal of Engineering 2022年 第3期8卷 688-691页
作者: Xirui Lv Zeyuan Li Ziang Chen
By studying the relevant data of the experimental process of preparing C4 olefins, an xgboost model based on the optimization of beetle antenna search algorithm is established to solve the optimal catalyst combination... 详细信息
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An explainable financial risk early warning model based on the DS-xgboost model
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FINANCE RESEARCH LETTERS 2023年 56卷
作者: Zhang, Tianjiao Zhu, Weidong Wu, Yong Wu, Zihao Zhang, Chao Hu, Xue Hefei Univ Technol Sch Management Hefei 230009 Anhui Peoples R China Hefei Univ Technol Sch Econ Hefei 230009 Anhui Peoples R China 193 Tunxi Rd Hefei Anhui Peoples R China
This study constructed a financial risk early warning model based on the D-S Evidence theory-xgboost (DS-xgboost) and analysed the model explainability combined with SHAP. Taking China's listed manufacturing compa... 详细信息
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Comparative analysis of data using machine learning algorithms: A hydroponics system use case
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SMART AGRICULTURAL TECHNOLOGY 2023年 4卷
作者: Idoje, Godwin Mouroutoglou, Christos Dagiuklas, Tasos Kotsiras, Anastasios Muddesar, Iqbal Alefragkis, Panagiotis London South Bank Univ Comp Sci & Informat Div London England Univ Peloponnese Dept Agr Kalamata Greece Univ Peloponnese Dept Elect & Comp Engn Kalamata Greece London South Bank Univ Comp Sci 103 Borough Rd London SE1 0AA England
This paper makes a comparison of machine learning algorithms for the analysis of four hydroponic datasets. Data have been gathered daily from hydroponic systems to predict the output of the hydroponic systems. This re... 详细信息
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