机构

• 长春光学精密机械与物... [1]
• 地球化学研究所 [1]
• 自动化研究所 [1]
• 生态环境研究中心 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [2]
• 会议论文 [1]
• 学位论文 [1]

发表日期

• 2023 [1]
• 2020 [1]
• 2018 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 7, 页码: 7885-7893 作者:  Su, Shuai;  Zhu, Qingyang;  Liu, Junqing;  Tang, Tao;  Wei, Qinglai   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/11/17 Deep reinforcement learning (RL)  driving strategy  energy-efficient train control (EETC)  soft actorcritic (SAC)   高寒草地生态系统植被退化评价研究 学位论文  OAI收割 北京: 中国科学院生态环境研究中心, 2020 作者:  韩王亚   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/07/02 高寒草地退化，多尺度关联，驱动 因素，管理对策  Alpine Grassland Degradation, Multi-scale Correlation, Driving Factors, Management Strategy   Temporal and spatial distribution of phytoplankton functional groups and role of environment factors in a deep subtropical reservoir 期刊论文  OAI收割 Chinese Journal of Oceanology and Limnology, Chinese Journal of Oceanology and Limnology, 2018, 2018, 卷号: 36, 36, 期号: 3, 页码: 761-771, 761-771 作者:  LI Lei;  LI Qiuhua;  CHEN Jing’an;  WANG Jingfu;  JIAO Shulin   |  收藏  |  浏览/下载：25/0  |  提交时间：2019/05/29 Phytoplankton Functional Groups  Phytoplankton Functional Groups  Temporal And Spatial Distribution  Growth Strategy  Driving Factors  Wanfeng Reservoir  Temporal And Spatial Distribution  Growth Strategy  Driving Factors  Wanfeng Reservoir   A dynamic data mining model for engineering management (EI CONFERENCE) 会议论文  OAI收割 2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009, August 8, 2009 - August 9, 2009, Sanya, China Zhu J.-W.; Tang Y.-G. 收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25 Data mining has become increasingly critical for the success of companies in this emerging era of Engineering Management. As Engineering Management activities increasingly shift to the web  the challenge facing corporate management is maintaining competitive advantage by building strong relations with employees  customers  and suppliers and partners. A good data mining strategy can help achieve this goal. Unfortunately  many companies use data mining technologies that do not suit today's new information era. This paper addresses the definitions about data mining  area of data mining  development of data mining  then provide an summary of the driving and impeding forces that help and hinder proper deployment of data mining strategies in Engineering Management. Finally  the paper advocates the strategy of data mining for Engineering Management. 2009 IEEE.