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The Behavior Analysis and Achievement Prediction Research of College Students Based on XGBoost Gradient Lifting Decision Tree Algorithm 会议论文
PROCEEDINGS OF 2019 7TH INTERNATIONAL CONFERENCE ON INFORMATION AND EDUCATION TECHNOLOGY (ICIET 2019), 2019-01-01
作者:  Li Guang-yu;  Han Geng
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30
A Novel Power Quality Disturbance Recognition Method Based on Improved HHT Algorithm 会议论文
PROCEEDINGS OF 2018 IEEE 4TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2018), 2018-01-01
作者:  Li Ning;  He Fuxing;  Li Xinyi;  Sun Xiaoqiang;  Zhang Xiaoqi
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/20
Application of Birth Defect Prediction Model Based on C5.0 Decision Tree Algorithm 会议论文
IEEE International Congress on Cybermatics / IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, JUL 30-AUG 03, 2018
作者:  Guo, Junmei;  Liu, Haiying;  Luan, Yizhong;  Wu, Yun
收藏  |  浏览/下载：8/0  |  提交时间：2019/12/31
A NOVEL METHOD of TRANSFORMER FAULT DIAGNOSIS BASED on K-MEDIODS and DECISION TREE ALGORITHM 会议论文
作者:  Zhou, Zhou;  Si, Gangquan;  Chen, Jiaxi;  Zheng, Kai;  Yue, Wenmeng
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/26
Application of a novel Parallel Variable Weight Decision Tree Algorithm in Transformer Fault Diagnosis 会议论文
作者:  Zhou, Zhou;  Si, Gangquan;  Chen, Jiaxi;  Zheng, Kai;  Yue, Wenmeng
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26
Research on Personalized E-Learning Based on Decision Tree and RETE Algorithm 会议论文
2017 INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS, ELECTRONICS AND CONTROL (ICCSEC), 2017-01-01
作者:  Zhou, TongFei[1];  Pan, YuQing[2];  Huang, LiRong[3]
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/24
Improvement of ID3 Algorithm Based on Simplified Information Entropy and Coordination Degree 会议论文
Chinese Automation Congress (CAC), OCT 20-22, 2017
作者:  Wang Ying-ying;  Li Yi-bin;  Rong Xue-wen
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31
Fault mode prediction based on decision tree 会议论文
作者:  Jiarula, Yasenjiang;  Gao, Jianmin;  Gao, Zhiyong;  Jiang, Hongquan;  Wang, Rongxi
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02
Analysis on meteorological conditions and health factors based on C4.5 algorithm 会议论文
Shenzhen, China, November 27, 2014 - November 29, 2014
作者:  Han, Xu;  Jiang, Han;  Jiang, Yanfeng;  Gu, Heng;  Zhang, Siyue
收藏  |  浏览/下载：6/0  |  提交时间：2017/01/20
Retrieval of snow depth in Northeast China using FY-3B/MWRI passive microwave remote sensing data (EI CONFERENCE) 会议论文
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.; Gu L.; Chen H.; Cao J.
收藏  |  浏览/下载：130/0  |  提交时间：2013/03/25
Comparing with optical remote sensing techniques  passive remote sensing data have been proved to be effective for observing snowpack parameters such as snow depth and snow water equivalent  which can penetrate snowpack without clouds interferences. The Microwave Radiation Imager (MWRI) loaded on the Chinese FengYun-3B (FY-3B) satellite is gradually used in the global environment research through November  2011. In this paper  we proposed a snow depth retrieval algorithm to estimate snow depth in Northeast China using MWRI passive microwave remote sensing data. A decision tree method of snow identification was firstly designed to distinguish different snow cover conditions in order to eliminate other interference signals. After using the proposed decision tree method  the processing results were further used to retrieve the snow depth in Northeast China. Finally  the practical snow depth data and the MODIS data were collected for the accuracy assessment of the proposed snow depth retrieval method. The experimental results demonstrated that the RMSE of snow depth used the proposed method was approximately 3 cm in Northeast China. 2012 SPIE.  

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