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Tunnel Geology Prediction Using a Neural Network Based on Instrumented Drilling Test
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 1, 页码: 17
作者:
Fang, Yuwei
;
Wu, Zhenjun
;
Sheng, Qian
;
Tang, Hua
;
Liang, Dongcai
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/05/25
tunnel
geology prediction
neural network
instrumented drilling
drilling parameters
genetic algorithm
Soft Sensor Modeling of Key Effluent Parameters in Wastewater Treatment Process Based on SAE-NN
期刊论文
Journal of Control Science and Engineering, 2020, 卷号: 2020
作者:
Osman, Yousuf Babiker M.
;
Osman, Yousuf Babiker M.
;
Li, Wei
;
Li, Wei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/11/14
Biochemical oxygen demand
Deep learning
Effluent treatment
Effluents
Genetic algorithms
Gradient methods
Learning systems
Parameter estimation
Reclamation
Sewage treatment plants
Stochastic systems
Real time measurements
Secondary variables
Soft sensor models
Stochastic gradient descent
Strong correlation
Wastewater treatment plants
Wastewater treatment process
Weight parameters
Multi harmonic and random stiffness excitation for milling chatter suppression
期刊论文
Mechanical Systems and Signal Processing, 2019, 卷号: 120, 页码: 777-792
作者:
Wang, Chenxi
;
Zhang, Xingwu
;
Liu, Jinxin
;
Yan, Ruqiang
;
Cao, Hongrui
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2019/11/19
Genetic algorithm
Milling chatter suppression
Multi harmonic stiffness excitation
Parameters optimization
Random stiffness excitation
Random walk methodology
Multi-objective optimization of control parameters for a pressurized water reactor pressurizer using a genetic algorithm
期刊论文
Annals of Nuclear Energy, 2019, 卷号: 124, 页码: 9-20
作者:
Wang, Pengfei
;
Yan, Xu
;
Zhao, Fuyu
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/11/19
Control parameters
Load rejections
MATLAB/Simulink environment
Multi-objective functions
Multi-objective optimization problem
Non dominated sorting genetic algorithm ii (NSGA II)
Pressurizer
Proportional integral derivative controllers
Cutting parameter optimization for machining operations considering carbon emissions
期刊论文
Journal of Cleaner Production, 2019, 卷号: 208, 页码: 937-950
作者:
Zhou, Guanghui
;
Lu, Qi
;
Xiao, Zhongdong
;
Zhou, Ce
;
Tian, Changle
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/11/19
Carbon emissions
Cutting parameters
Multi-objective optimization
Non-cooperative game theory
Non-dominated sorting genetic algorithm
Optimization investigation on configuration parameters of sine wavy fin in plate-fin heat exchanger based on fluid structure interaction analysis
期刊论文
International Journal of Heat and Mass Transfer, 2019, 卷号: 131, 页码: 385-402
作者:
Wen, Jian
;
Li, Ke
;
Wang, Chunlong
;
Zhang, Xing
;
Wang, Simin
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/11/19
Comprehensive performance
Configuration parameters
Fluid structure interaction analysis
Multi-objective genetic algorithm
Multiple-objectives
Plate-fin heat exchanger
Response surface
Wavy fin
Simulation and optimization of the post plasma-catalytic system for toluene degradation by a hybrid ANN and NSGA-II method
期刊论文
Applied Catalysis B: Environmental, 2019, 卷号: 244, 页码: 107-119
作者:
Chang, Tian
;
Lu, Jiaqi
;
Shen, Zhenxing
;
Huang, Yu
;
Lu, Di
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/11/19
Catalytic system
Dielectric barrier discharges
Experimental parameters
Initial concentration
Multi-objective optimization models
Simulation and optimization
Sorting genetic algorithm
Toluene removal efficiency
Ladder network parameters identification of an isolated winding by combining the intelligent optimisation algorithm and GNIA
期刊论文
IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 卷号: 13, 页码: 296-304
作者:
Ren, Fuqiang
;
Xiao, Yao
;
Zhan, Cao
;
Liu, Yong
;
Yang, Fan
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/11/19
intelligent optimisation algorithm
parameter estimation
GNIA
excellent global search ability
least squares approximations
transformer windings
Newton method
isolated winding show
frequency response function data
combined algorithms
transformer winding
intelligent algorithm
identification results
ladder network parameters identification
traditional identification method
iterative methods
Jacobian matrices
genetic algorithms
sharply dropped calculation workload
optimisation efficiency
Gauss-Newton iteration algorithm
frequency response
ladder network parameter identification
optimisation
search problems
Numerical investigation of the potential of late intake valve closing (LIVC) coupled with double diesel Direct-Injection strategy for meeting high fuel efficiency with Ultra-Low emissions in a Heavy-Duty reactivity controlled compression ignition (RCCI)
期刊论文
SAE Technical Papers, 2019, 卷号: 2019-April
作者:
Xu, G.
;
Jia, M.
;
Xu, Z.
;
Chang, Y.
;
Wang, T.
收藏
  |  
浏览/下载:124/0
  |  
提交时间:2019/12/02
Air pollution control
Combustion
Diesel engines
Diesel fuels
Efficiency
Energy efficiency
Exhaust gas recirculation
Fuel economy
Fuels
Gas emissions
Genetic algorithms
Heat transfer
Intake valves
Nitrogen oxides
Process control
Soot, Combustion efficiencies
Compression ignition
Exhaust gas recirculation rates
Heavy-duty diesel engine
In-cylinder pressures
Late intake valve closings (LIVC)
Numerical investigations
Operating parameters, Direct injection
Computational optimization of syngas/diesel RCCI combustion at low load in different engine size
期刊论文
SAE Technical Papers, 2019, 卷号: 2019-April
作者:
Xu, Z.
;
Jia, M.
;
Xu, G.
;
Chang, Y.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Diesel engines
Dual fuel engines
Efficiency
Engine cylinders
Engine pistons
Fuels
Genetic algorithms
Pistons
Synthesis gas, Combustion efficiencies
Compression ignition
Computational optimization
High combustion efficiency
High-temperature combustion
Operating parameters
Pilot injection timing
Single cylinder engine, Combustion
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