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兰州理工大学 [9]
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期刊论文 [25]
会议论文 [2]
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2020 [27]
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Forestry [1]
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Parameter Solution of Instantaneous Milling Force Model of Variable Cross-section Scroll Plates Based on Improved PSO Algorithm
期刊论文
Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2020, 卷号: 31, 期号: 24, 页码: 2943-2949
作者:
Liu, Tao
;
Zhang, Lifang
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/02/17
Predictive analytics
Convergence rates
Improved pso algorithms
Machining Process
Milling force models
Milling parameters
Model parameters
Nonlinear problems
Variable cross section
Polarization measurement accuracy analysis and improvement methods for the directional polarimetric camera
期刊论文
Optics Express, 2020
作者:
Huang Chan
;
Chang Yuyang
;
Xiang Guangfeng
;
Han Lin
;
Chen Feinan
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浏览/下载:0/0
  |  
提交时间:2022/12/27
polarization calibration
polarization measurement accuracy
radiometric calibration
diattenuation of the optics
the degree of linear polarization
The directional polarimetric camera (DPC)
Stable Training of Bellman Error in Reinforcement Learning
会议论文
Thailand, November 18–22
作者:
Gong C(龚晨)
;
Bai YP(白云鹏)
;
Hou XW(侯新文)
;
Ji XH(季晓慧)
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  |  
浏览/下载:0/0
  |  
提交时间:2023/06/27
Asymptotic efficiency and probabilistic error bound for maximum likelihood-based identification of finite impulse response systems with binary-valued observations and unreliable communications
期刊论文
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2020, 页码: 18
作者:
Guo, Jin
;
Cheng, Jing
;
Xue, Wenchao
;
Zhao, Yanlong
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  |  
浏览/下载:79/0
  |  
提交时间:2020/10/12
binary-valued observations
FIR systems
packet losses
parameter identification
transmission errors
Estimating Land Surface Temperature from Satellite Passive Microwave Observations with the Traditional Neural Network, Deep Belief Network, and Convolutional Neural Network
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 17, 页码: 27
作者:
Wang, Shaofei
;
Zhou, Ji
;
Lei, Tianjie
;
Wu, Hua
;
Zhang, Xiaodong
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  |  
浏览/下载:17/0
  |  
提交时间:2021/03/16
land surface temperature
neural network
deep belief network
convolutional neural network
passive microwave
Theoretical Comparison of Test Performance of Different Pulse Decay Methods for Unconventional Cores
期刊论文
ENERGIES, 2020, 卷号: 13, 期号: 17, 页码: 21
作者:
Han GF(韩国锋)
;
Liu XL
;
Huang J
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/11/30
pulse decay method
gas adsorption
dual media
unconventional core
A potential-free field inverse Schrödinger problem: optimal error bound analysis and regularization method
期刊论文
Inverse Problems in Science and Engineering, 2020, 卷号: 28, 期号: 9, 页码: 1209-1252
作者:
Yang, Fan
;
Fu, Jun-Liang
;
Li, Xiao-Xiao
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  |  
浏览/下载:5/0
  |  
提交时间:2020/11/14
Dynamic loads
Errors
Iterative methods
Numerical methods
Parameterization
Free fields
Ill posed problem
Iterative regularization
Modified kernels
Optimal error bound
Optimal Parameter Estimation in Activated Sludge Process Based Wastewater Treatment Practice
期刊论文
WATER, 2020, 卷号: 12, 期号: 9
作者:
Du, Xianjun
;
Ma, Yue
;
Wei, Xueqin
;
Jegatheesan, Veeriah
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  |  
浏览/下载:2/0
  |  
提交时间:2022/03/01
activated sludge model 1 (ASM1)
intelligent algorithm
invasive weed optimization (IWO)
parameter estimation
wastewater treatment
Optimal parameter estimation in activated sludge process based wastewater treatment practice
期刊论文
Water (Switzerland), 2020, 卷号: 12, 期号: 9
作者:
Du, Xianjun
;
Ma, Yue
;
Wei, Xueqin
;
Jegatheesan, Veeriah
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/11/14
Effluent treatment
Effluents
Genetic algorithms
Parameter estimation
Reclamation
Sewage treatment plants
Wastewater treatment
Water quality
Activated sludge model
Faster convergence
Global optimal solutions
Intelligent Algorithms
Invasive weed optimization
Optimal parameter estimation
Wastewater treatment plants
Wastewater treatment process
Modeling hourly soil temperature using deep BiLSTM neural network
期刊论文
Algorithms, 2020, 卷号: 13, 期号: 7
作者:
Li, Cong
;
Zhang, Yaonan
;
Ren, Xupeng
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  |  
浏览/下载:3/0
  |  
提交时间:2020/11/14
Agricultural robots
Agriculture
Climate models
Deep neural networks
Mean square error
Neural networks
Soils
Temperature
Time series analysis
Agricultural productions
Biogeochemical models
Coefficient of determination
Correlation analysis
Geothermal development
Machine learning models
Meteorological parameters
Root mean square errors
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