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北京大学 [5]
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Machine Learning Method for Fatigue Strength Prediction of Nickel-Based Superalloy with Various Influencing Factors
期刊论文
MATERIALS, 2023, 卷号: 16, 期号: 1, 页码: 13
作者:
Guo, Yiyun
;
Rui, Shao-Shi
;
Xu, Wei
;
Sun, Chengqi
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/02/09
machine learning
nickel-based superalloy
fatigue strength prediction
temperature
stress ratio
BIAS REDUCTION FOR NONPARAMETRIC AND SEMIPARAMETRIC REGRESSION MODELS
期刊论文
STATISTICA SINICA, 2018, 卷号: 28, 期号: 4, 页码: 2749-2770
作者:
Cheng, Ming-Yen
;
Huang, Tao
;
Liu, Peng
;
Peng, Heng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/08/22
Simultaneous confidence band
undersmoothing
variance function estimation
Seismic response prediction of reinforced concrete buildings through nonlinear combinations of intensity measures
期刊论文
BULLETIN OF EARTHQUAKE ENGINEERING, 2018, 卷号: 16, 页码: 6047-6076
作者:
Fiore, Alessandra
;
Mollaioli, Fabrizio
;
Quaranta, Giuseppe
;
Marano, Giuseppe C.
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  |  
浏览/下载:3/0
  |  
提交时间:2019/11/21
Reinforced concrete
Intensity measure
Engineering demand parameter
Pulse-like ground motion
Evolutionary polynomial regression
Seismic isolation
Sparse regression Chebyshev polynomial interval method for nonlinear dynamic systems under uncertainty
期刊论文
APPLIED MATHEMATICAL MODELLING, 2017, 卷号: 51, 页码: 505-525
作者:
Li, Chao
;
Chen, Biaosong
;
Peng, Haijun
;
Zhang, Sheng
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/03
Uncertain interval model
Sparse regression
Chebyshev polynomials
Response interval estimation of nonlinear dynamic systems
Ordinary differential equations (ODES)
Estimation and test for quantile nonlinear cointegrating regression
期刊论文
Economics Letters, 2016, 卷号: Vol.148, 页码: 27-32
作者:
Li, HQ
;
Zheng, CW
;
Guo, Y
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
Quantile
nonlinear
cointegration
Nonlinearity
test
Polynomial
approximation
Fully
modified
procedure
Two-level Multi-surrogate Assisted Optimization method for high dimensional nonlinear problems
期刊论文
Applied Soft Computing Journal, 2016, 卷号: 46, 页码: 26-36
作者:
Li, Enying
;
Wang, Hu*
;
Ye, Fan
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/28
AI
Artificial Immune
EICAM
EI criterion assisted modeling
EGO
Efficient Global Optimization
EI
Expected Improvement
GA
Genetic Algorithm
GMDH
Group Method of Data Handling
GSS
Golden Section Sampling
HDMR
High Dimensional Model Representation
LOOCV
Leave-One-Out Cross Validation
MAS
Multi-surrogate Assisted Sampling algorithm
EImax
maximum EI
MLS
Moving Least Square
NTS
Number of Test Samples
PR
Polynomial Regression
PSO
Particle Swarm Optimization
RAAE
Relative Average Absolute Error
RBF
Radial Basis Function
RMAE
Relative Maximum Absolute Error
SA
Simulated Annealing
STD
Standard Deviation
SAEO
Surrogate Assisted Evolutionary Optimization
SAO
Surrogate Assisted Optimization
SVR
Support Vector Regression
TMAO
Two-level Multi-surrogate Assisted Optimization
TLBO
Teaching Learning-Based Optimization
SAO
HDMR
Separable
GMDH
Multi-surrogate
Constrained probabilistic collocation method for uncertainty quantification of geophysical models
期刊论文
COMPUTATIONAL GEOSCIENCES, 2015
Liao, Qinzhuo
;
Zhang, Dongxiao
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浏览/下载:3/0
  |  
提交时间:2017/12/03
Constrained probabilistic collocation method
Uncertainty quantification
Physical constraints
Strong nonlinearity
STOCHASTIC DIFFERENTIAL-EQUATIONS
KALMAN FILTER
POROUS-MEDIA
SOLUTE TRANSPORT
POLYNOMIAL CHAOS
FLOW
PROPAGATION
EFFICIENT
TRANSFORM
生物柴油酯交换反应过程的优化与控制策略研究
学位论文
博士, 中国科学院沈阳自动化研究所: 中国科学院沈阳自动化研究所, 2014
作者:
史洪岩
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  |  
浏览/下载:159/0
  |  
提交时间:2015/08/20
生物柴油
酯交换反应
动态优化
双层结构预测控制
响应面优化
Combination of uniform design with artificial neural network coupling genetic algorithm: an effective way to obtain high yield of biomass and algicidal compound of a novel HABs control actinomycete
期刊论文
http://dx.doi.org/10.1186/1475-2859-13-75, 2014
Cai, Guanjing
;
Zheng, Wei
;
Yang, Xujun
;
Zhang, Bangzhou
;
Zheng, Tianling
;
郑炜
;
郑天凌
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  |  
浏览/下载:4/0
  |  
提交时间:2015/07/22
ALEXANDRIUM-TAMARENSE
MARINE BACTERIUM
HIDDEN NEURONS
RED TIDE
OPTIMIZATION
FERMENTATION
INHIBITION
NUMBER
SEA
Generalization ability of fractional polynomial models
期刊论文
NEURAL NETWORKS, 2014, 卷号: 49, 页码: 59-73
作者:
Lei, Yunwen
;
Ding, Lixin
;
Ding, Yiming
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  |  
浏览/下载:16/0
  |  
提交时间:2015/06/24
Learning algorithm
Learning theory
Fractional polynomial
Model selection
Approximation theory
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