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自动化研究所 [15]
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兰州理工大学 [6]
计算技术研究所 [5]
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南京地理与湖泊研究所 [4]
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期刊论文 [60]
会议论文 [5]
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2020 [65]
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Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256
作者:
Wei, Qinglai
;
Wang, Lingxiao
;
Liu, Yu
;
Polycarpou, Marios M.
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/03/08
Elevators
Optimal control
Backpropagation
Machine learning
Neural networks
Learning (artificial intelligence)
Actor
–critic
adaptive dynamic programming
deep learning (DL)
elevator group control (EGC)
optimal control
reinforcement learning (RL)
Helix Matrix Transformation Combined With Convolutional Neural Network Algorithm for Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry-Based Bacterial Identification
期刊论文
FRONTIERS IN MICROBIOLOGY, 2020, 卷号: 11, 页码: 10
作者:
Ling, Jin
;
Li, Gaomin
;
Shao, Hong
;
Wang, Hong
;
Yin, Hongrui
收藏
  |  
浏览/下载:124/0
  |  
提交时间:2020/12/24
matrix-assisted laser desorption ionization-time of flight mass spectrometry
bacterial identification
helix matrix transformation
convolutional neural network
algorithm study
A new method of predicting the saturation pressure of oil reservoir and its application
期刊论文
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 卷号: 45, 期号: 55, 页码: 30244-30253
作者:
Yu GY
;
Xu F
;
Cui YZ
;
Li XL
;
Kang CJ
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  |  
浏览/下载:50/0
  |  
提交时间:2020/12/28
Oil reservoir
RANDOM FOREST
Saturation pressure
HETEROGENEITY
Random forest
Decision tree
ANN
Empirical formula
WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system
期刊论文
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2020, 卷号: 145, 页码: 202-216
作者:
Cheng Daning
;
Li Shigang
;
Zhang Yunquan
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  |  
浏览/下载:33/0
  |  
提交时间:2020/12/10
SGD
Unbalanced workload
SimuParallel SGD
Distributed system
Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659
作者:
Peng, Xinyu
;
Li, Li
;
Wang, Fei-Yue
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  |  
浏览/下载:14/0
  |  
提交时间:2021/01/06
Training
Convergence
Approximation algorithms
Stochastic processes
Estimation
Optimization
Acceleration
Batch selection
machine learning
minibatch stochastic gradient descent (SGD)
speed of convergence
Comparison of two satellite-based soil moisture reconstruction algorithms: A case study in the state of Oklahoma, USA
期刊论文
JOURNAL OF HYDROLOGY, 2020, 卷号: 590, 页码: 16
作者:
Liu, Yangxiaoyue
;
Yao, Ling
;
Jing, Wenlong
;
Di, Liping
;
Yang, Ji
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/03/15
Satellite-based soil moisture
Reconstruction
Triangular feature space-based model
Random forest
Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales
期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 178, 页码: 16
作者:
Zhu, Wanxue
;
Sun, Zhigang
;
Yang, Ting
;
Li, Jing
;
Peng, Jinbang
收藏
  |  
浏览/下载:114/0
  |  
提交时间:2021/03/15
Unmanned aerial vehicle (UAV)
Hyperspectral
Chlorophyll
Machine learning
Precision agriculture
MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks
期刊论文
BMC BIOINFORMATICS, 2020, 卷号: 21, 期号: 1, 页码: 15
作者:
Wang, Shisheng
;
Zhu, Hongwen
;
Zhou, Hu
;
Cheng, Jingqiu
;
Yang, Hao
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2020/12/24
Raw mass spectrometry data
Proteome profiling
Feature swath extraction
Deep neural networks
Multi-tumor types
Leave-one-out cross prediction strategy
Deep-learning-based information mining from ocean remote-sensing imagery
期刊论文
NATIONAL SCIENCE REVIEW, 2020, 卷号: 7, 期号: 10, 页码: 1584-1605
作者:
Li, Xiaofeng
;
Liu, Bin
;
Zheng, Gang
;
Ren, Yibin
;
Zhang, Shuangshang
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/04/12
ocean remote sensing
big data
artificial intelligence
image classification
On semi-supervised multiple representation behavior learning
期刊论文
JOURNAL OF COMPUTATIONAL SCIENCE, 2020, 卷号: 46, 页码: 17
作者:
Lu, Ruqian
;
Hou, Shengluan
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/04/26
Semi-supervised learning
Semi-supervised multiple representation behavior learning
Semi-supervised grammar learning
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