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Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5, Pages 1181-1198 doi: 10.1007/s11709-021-0744-6
Keywords: interaction load sharing ratio piled raft nonlinear regression artificial neural network
Identification of important factors influencing nonlinear counting systems Research Article
Xinmin ZHANG, Jingbo WANG, Chihang WEI, Zhihuan SONG,xinminzhang@zju.edu.cn,wangjingbobo@zju.edu.cn,chhwei@zju.edu.cn,songzhihuan@zju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1, Pages 123-133 doi: 10.1631/FITEE.2000324
Keywords: Important factors Nonlinear counting system Generalized Gaussian process regression Sensitivity analysis
Multiple regression models for energy consumption of office buildings in different climates in China
Siyu ZHOU, Neng ZHU
Frontiers in Energy 2013, Volume 7, Issue 1, Pages 103-110 doi: 10.1007/s11708-012-0220-z
Keywords: regression model energy consumption building envelope office building different climates
Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 221-236 doi: 10.1007/s11705-021-2061-y
Keywords: data-driven modeling pharmaceutical organic synthesis Lasso regression dynamic response surface methodology
Image quality assessmentmethod based on nonlinear feature extraction in kernel space Article
Yong DING,Nan LI,Yang ZHAO,Kai HUANG
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10, Pages 1008-1017 doi: 10.1631/FITEE.1500439
Keywords: Image quality assessment Full-reference method Feature extraction Kernel space Support vector regression
Multivariable regression model for Fox depth correction factor
Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 103-109 doi: 10.1007/s11709-018-0474-6
Keywords: settlement embedment Fox depth correction factor regression multivariable
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1676-2
● A novel framework integrating quantile regression with machine learning
Keywords: Driver-response Upper boundary of relationship Interpretable machine learning Quantile regression
Ali Reza GHANIZADEH, Morteza RAHROVAN
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 787-799 doi: 10.1007/s11709-019-0516-8
Keywords: soil-reclaimed asphalt pavement blend Portland cement unconfined compressive strength multivariate adaptive regression
Pijush Samui, Jagan J
Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2, Pages 133-136 doi: 10.1007/s11709-013-0202-1
Keywords: unsaturated soil effective stress parameter Gaussian process regression (GPR) artificial neural network
Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO
Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1, Pages 90-99 doi: 10.1007/s11709-016-0363-9
Keywords: concrete 28 days compressive strength multiple linear regression artificial neural network ANFIS sensitivity
SPT based determination of undrained shear strength: Regression models and machine learning
Walid Khalid MBARAK, Esma Nur CINICIOGLU, Ozer CINICIOGLU
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1, Pages 185-198 doi: 10.1007/s11709-019-0591-x
Keywords: undrained shear strength linear regression random forest gradient boosting machine learning standard
New nonlinear stiffness actuator with predefined torque‒deflection profile
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0721-3
Keywords: compliant actuator nonlinear stiffness actuator nonlinear spring predefined torque−deflection profile
Presentation of regression analysis, GP and GMDH models to predict the pedestrian density in various
Iraj BARGEGOL; Seyed Mohsen HOSSEINIAN; Vahid NAJAFI MOGHADDAM GILANI; Mohammad NIKOOKAR; Alireza OROUEI
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2, Pages 250-265 doi: 10.1007/s11709-021-0785-x
Keywords: pedestrian density regression analysis GP model GMDH model
Jun Yang, Jingyun Wang, Pengwei Qiao, Yuanming Zheng, Junxing Yang, Tongbin Chen, Mei Lei, Xiaoming Wan, Xiaoyong Zhou
Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 3, doi: 10.1007/s11783-019-1216-2
Keywords: Soil Heavy metal Influencing factor Categorical regression Identification method
Nasser L. AZAD,Ahmad MOZAFFARI
Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4, Pages 405-412 doi: 10.1007/s11465-015-0354-x
Keywords: automotive engine calibration coldstart operation Gaussian process regression machine (GPRM) uncertainty
Title Author Date Type Operation
Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based
Journal Article
Identification of important factors influencing nonlinear counting systems
Xinmin ZHANG, Jingbo WANG, Chihang WEI, Zhihuan SONG,xinminzhang@zju.edu.cn,wangjingbobo@zju.edu.cn,chhwei@zju.edu.cn,songzhihuan@zju.edu.cn
Journal Article
Multiple regression models for energy consumption of office buildings in different climates in China
Siyu ZHOU, Neng ZHU
Journal Article
Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis
Journal Article
Image quality assessmentmethod based on nonlinear feature extraction in kernel space
Yong DING,Nan LI,Yang ZHAO,Kai HUANG
Journal Article
Multivariable regression model for Fox depth correction factor
Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL
Journal Article
of driver-response relationships: identifying factors using a novel framework integrating quantile regression
Journal Article
compressive strength of soil-RAP blend stabilized with Portland cement using multivariate adaptive regression
Ali Reza GHANIZADEH, Morteza RAHROVAN
Journal Article
Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach
Pijush Samui, Jagan J
Journal Article
Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive
Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO
Journal Article
SPT based determination of undrained shear strength: Regression models and machine learning
Walid Khalid MBARAK, Esma Nur CINICIOGLU, Ozer CINICIOGLU
Journal Article
Presentation of regression analysis, GP and GMDH models to predict the pedestrian density in various
Iraj BARGEGOL; Seyed Mohsen HOSSEINIAN; Vahid NAJAFI MOGHADDAM GILANI; Mohammad NIKOOKAR; Alireza OROUEI
Journal Article
Identifying factors that influence soil heavy metals by using categorical regression analysis: A case
Jun Yang, Jingyun Wang, Pengwei Qiao, Yuanming Zheng, Junxing Yang, Tongbin Chen, Mei Lei, Xiaoming Wan, Xiaoyong Zhou
Journal Article