中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [7]
地理科学与资源研究所 [2]
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OAI收割 [21]
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期刊论文 [15]
学位论文 [4]
会议论文 [2]
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2022 [4]
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Computer S... [1]
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Machine learning-aided optimization of coal decoupling combustion for lowering NO and CO emissions simultaneously
期刊论文
OAI收割
COMPUTERS & CHEMICAL ENGINEERING, 2022, 卷号: 162, 页码: 11
作者:
Jin, Nani
;
Guo, Li
;
Liu, Xinhua
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/02/24
Machine learning
Deep neural network
Gated recurrent unit
Decoupling combustion
Pollutant emission
Coal stove
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 587-599
作者:
Shi, Yang
;
Jin, Long
;
Li, Shuai
;
Li, Jian
;
Qiang, Jipeng
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/08/22
Mathematical model
Linear matrix inequalities
Numerical models
Computational modeling
Recurrent neural networks
Analytical models
Manipulators
Convergence
discrete-form time-variant multi-augmented Sylvester matrix problems
discrete-time recurrent neural networks (RNNs)
discretization formula
robot manipulator application
Improving Cross-State and Cross-Subject Visual ERP-Based BCI With Temporal Modeling and Adversarial Training
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: 30, 页码: 369-379
作者:
Ni, Ziyi
;
Xu, Jiaming
;
Wu, Yuwei
;
Li, Mengfan
;
Xu, Guizhi
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/06/06
Brain modeling
Electroencephalography
Visualization
Training
Task analysis
Feature extraction
Adaptation models
Brain-computer interface
temporal modeling
adversarial training
cross-subject
cross-state
Lateral predictive coding revisited: internal model, symmetry breaking, and response time
期刊论文
OAI收割
COMMUNICATIONS IN THEORETICAL PHYSICS, 2022, 卷号: 74, 期号: 9, 页码: 95601
作者:
Huang, Zhen-Ye
;
Fan, Xin-Yi
;
Zhou, Jianwen
;
Zhou, Hai-Jun
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/01/16
BRAIN
Knowledge Graph enhanced Neural Collaborative Filtering with Residual Recurrent Network
期刊论文
OAI收割
NEUROCOMPUTING, 2021, 卷号: 454, 页码: 417-429
作者:
Sang, Lei
;
Xu, Min
;
Qian, Shengsheng
;
Wu, Xindong
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/08/15
Recommendation system
Knowledge Graph
Relational Path Embedding
Neural Collaborative Filtering
Residual Recurrent Network
Locate then Segment: A Strong Pipeline for Referring Image Segmentation
会议论文
OAI收割
virtual, 2021-6
作者:
Jing Y(荆雅)
;
Kong T(孔涛)
;
Wang W(王威)
;
Wang L(王亮)
;
Li L(李磊)
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/06/07
A Dual Simple Recurrent Network Model for Chunking and Abstract Processes in Sequence Learning
期刊论文
OAI收割
FRONTIERS IN PSYCHOLOGY, 2021, 卷号: 12, 页码: 17
作者:
Wang, Lituan
;
Feng, Yangqin
;
Fu, Qiufang
;
Wang, Jianyong
;
Sun, Xunwei
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/06/09
sequence learning
abstract processes
chunking processes
simple recurrent network
dual simple recurrent
History Reuse and Bag-of-Words Loss for Long Summary Generation
期刊论文
OAI收割
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 卷号: 29
作者:
Liu, Qing
;
Chen, Lei
;
Yuan, Yuan
;
Wu, Huarui
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2021/09/06
History
Decoding
Training
Predictive models
Postal services
Computational modeling
Vocabulary
Abstractive summarization
long summaries
history reuse
bag-of-words
word order deviation
MBNN: A Multi-Branch Neural Network Capable of Utilizing Industrial Sample Unbalance for Fast Inference
期刊论文
OAI收割
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 2, 页码: 1809-1819
作者:
Wang QZ(王其朝)
;
Wang K(王锴)
;
Li Q(李庆)
;
Yang ZY(杨祖业)
;
Jin GS(金光淑)
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/01/17
Fault diagnosis
Neural networks
Complexity theory
Computational modeling
Sensors
Optimization
Real-time systems
Neural network architecture
fault diagnosis
fast inference
unbalance sample
A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13
作者:
Zhang, Qiang
;
Wu, Shun
;
Wang, Xiangwen
;
Sun, Binzhen
;
Liu, Haimeng
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/03/16
PM(2.5)prediction
Multi-task deep learning
Artificial intelligence
Intensive monitoring stations
Lanzhou city