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融合多源数据知识的复杂工业过程优化决策方法研究 学位论文
, 北京: 中国科学院大学, 2019
Authors:  刘承宝
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多源数据融合  知识获取  生成式对抗网络  智能优化决策  锂离子电池单体电芯一致性分选  
基于深度学习的人体行为识别研究 学位论文
工学博士学位, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  杨浩
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深度学习  卷积神经网络  递归神经网络  行为识别  
MaPU编程语言及编译器关键技术研究 学位论文
工程硕士, 北京市海淀区中关村东路95号自动化研究所: 中国科学院自动化研究所, 2019
Authors:  申俊志
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编程语言设计  编译器设计与实现  Vliw  指令调度  
片内多核共享存储体系结构研究与设计 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  孟洪宇
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多核共享存储  互联协议  互联结构  任务调度  设计探索  
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 卷号: 3, 期号: 1, 页码: 73-84
Authors:  Kun Shao;  Yuanheng Zhu;  Dongbin Zhao
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Reinforcement Learning, Transfer Learning, Curriculum Learning, Neural Network, Game Ai  
A Design Space Exploration Method for on-Chip Memory System Based on Task Scheduling 会议论文
, Beijing,China, 2018,11.23-25
Authors:  Hongyu,Meng;  Pengfei.Ding;  Mingxuan.Wang;  Donglin.Wang
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Design Space Exploration  Multi-core Architecture  Memory System  Task Scheduling  
Practical Block-Wise Neural Network Architecture Generation 会议论文
, Salt Lake City, UT, USA, 18-23 June 2018
Authors:  Zhao Zhong;  Junjie Yan;  Wei Wu;  Jing Shao;  Cheng-Lin Liu
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A Self-Indexed Register File for Efficient Arithmetical Computing Hardware 会议论文
, UK, 2017-10
Authors:  Lei Yang;  Shaolin Xie;  Zijun Liu;  Xueliang Du;  DongLin Wang
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Register File  Arithmetical Computing  Energy Efficient  
Echo state network-based Q-learning method for optimal battery control of offices combined with renewable energy 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 7, 页码: 915-922
Authors:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
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Recurrent Neural Nets  Neurocontrollers  Learning (Artificial Intelligence)  Office Environment  Optimal Control  Solar Power  Energy Consumption  Time Series  Secondary Cells  Energy Management Systems  Function Approximation  Echo State Network-based Q-learning Method  Optimal Battery Control  Renewable Energy  Optimal Energy Management  Solar Energy  Energy Consumption  Energy Demand  Time Series  Real-time Electricity Rate  Periodic Functions  Q-function  Optimal Charging Strategy  Optimal Discharging Strategy  Optimal Idle Strategy  Numerical Analysis  
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls 期刊论文
NEUROIMAGE, 2017, 卷号: 145, 页码: 137-165
Authors:  Arbabshirani, Mohammad R.;  Plis, Sergey;  Sui, Jing;  Calhoun, Vince D.
Adobe PDF(2676Kb)  |  Favorite  |  View/Download:140/10  |  Submit date:2017/02/14
Neuroimaging  Machine Learning  Classification  Brain Disorders  Prediction