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金属研究所 [3]
国家空间科学中心 [2]
山东大学 [2]
北京航空航天大学 [1]
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期刊论文 [12]
学位论文 [1]
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2019 [13]
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A simple coupled ANNs-RSM approach in modeling product distribution of Fischer-Tropsch synthesis using a microchannel reactor with Ru-promoted Co/Al2O3 catalyst
期刊论文
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2019, 页码: 16
作者:
Sun, Yong
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浏览/下载:22/0
  |  
提交时间:2020/03/24
Anns-rsm
Cobalt Catalyst
Comprehensive Kinetics
Fischer-tropsch Synthesis
Microchannel Reactor
Effect of Sediment Load Boundary Conditions in Predicting Sediment Delta of Tarbela Reservoir in Pakistan
期刊论文
WATER, 2019, 卷号: 11, 期号: 8, 页码: 20
作者:
Tarar, Zeeshan Riaz
;
Ahmad, Sajid Rashid
;
Ahmad, Iftikhar
;
ul Hasson, Shabeh
;
Khan, Zahid Mahmood
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浏览/下载:78/0
  |  
提交时间:2019/10/18
Upper Indus Basin (UIB)
Tarbela Reservoir
Besham Qila
sediment modeling
uncertainty
wavelet transform analysis-artificial neural network (WA-ANN)
sediment rating curve (SRC)
HEC-RAS
Hyperparameter optimization of neural network-driven spatial models accelerated using cyber-enabled high-performance computing
期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 33, 期号: 2
作者:
Zheng, Minrui
;
Tang, Wenwu
;
Zhao, Xiang
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  |  
浏览/下载:11/0
  |  
提交时间:2019/12/05
Artificial neural network
hyperparameter optimization
spatially explicit modeling
high-performance computing
spatial statistics
Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed
期刊论文
IEEE Transactions on Industrial Informatics, 2019, 卷号: Vol.15 No.5, 页码: 2605-2616
作者:
Lin Xiao
;
Shuai Li
;
Faa-Jeng Lin
;
Zhiguo Tan
;
Ameer Hamza Khan
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  |  
浏览/下载:12/0
  |  
提交时间:2019/12/13
Mathematical model
Convergence
Artificial neural networks
Additive noise
Stability analysis
Informatics
Computational modeling
Design formula
dynamic Lyapunov equation
finite-time convergence
noise suppression
zeroing neural network (ZNN)
Modeling Drying-Energy Consumption in Automotive Painting Line Based on ANN and MLR for Real-Time Prediction
期刊论文
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, 2019, 卷号: 6, 期号: 2, 页码: 241-254
作者:
Ma, Songhua
;
Jiang, Zhaoliang
;
Liu, Wenping
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  |  
浏览/下载:9/0
  |  
提交时间:2019/12/11
Automotive painting line
Natural gas consumption
Artificial neural
network (ANN)
Multiple linear regressions (MLR)
Energy consumption
monitoring system
Visual urban perception with deep semantic-aware network
期刊论文
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, 卷号: 11296 LNCS, 页码: 28-40
作者:
Xu, Yongchao
;
Yang, Qizheng
;
Cui, Chaoran
;
Shi, Cheng
;
Song, Guangle
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浏览/下载:15/0
  |  
提交时间:2019/12/11
Deep neural network
Object semantic information
Visual urban perception
基于多观测数据和神经网络方法的日冕行星际太阳风模式研究
学位论文
: 中国科学院国家空间科学中心, 2019
作者:
杨易
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浏览/下载:17/0
  |  
提交时间:2019/12/13
太阳风
源表面
神经网络
磁流体力学
数值模拟
Modeling the Global Distribution of Solar Wind Parameters on the Source Surface Using Multiple Observations and the Artificial Neural Network Technique
期刊论文
SOLAR PHYSICS, 2019, 卷号: 294, 期号: 8, 页码: 111
作者:
Yang, Yi
;
Shen, Fang
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  |  
浏览/下载:20/0
  |  
提交时间:2019/12/17
Source surface
Coronal magnetic field distribution
Coronal polarized brightness distribution
Interplanetary scintillation
Artificial neural network technique
An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural gas pipelines
期刊论文
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2019, 卷号: 60, 页码: 1-8
-
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/01/03
Natural gas pipeline reliability
Artificial neural network
Intelligent algorithm optimization
Corroding pipeline
Monte Carlo simulation
Identifying potential experts on stack overflow
期刊论文
Communications in Computer and Information Science, 2019, 卷号: 917, 页码: 301-315
作者:
Ban, Z.
;
Yan, J.
;
Sun, H.
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  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Feature extraction
Interactive computer systems
Learning systems
Neural networks
Artificial neural network modeling
Classification algorithm
On-line service
Potential experts identifying
Question answering communities
Stack overflow
Three dimensions
User-generated content
Data mining
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