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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

Abstract: First, statistical analysis was performed to investigate the normality of data and correlation of variablesRegression analysis was then applied to determine the relationship between SMS, flow rate, andBy the use of regression analysis, the mathematical relationships between variables in all facilities

Keywords： pedestrian density     regression analysis     GP model     GMDH model    

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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

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 3, doi: 10.1007/s11783-019-1216-2

Abstract: In this study, a categorical regression was used to identify the factors that influence soil heavy metalsinfluence of different factors on the soil heavy metal contents in Beijing was analyzed using a categorical regressionA categorical regression represents a suitable method for identifying the factors that influence soil

Keywords： Soil     Heavy metal     Influencing factor     Categorical regression     Identification method    

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Seismic analysis of steel structures considering damage cumulation

SHEN Zuyan, WU Aihui

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 1,   Pages 1-11 doi: 10.1007/s11709-007-0001-7

Abstract: The research on the development of a reliable analytical model for seismic analysis of steel structuresThe constants in the model are determined from regression analysis of experimental results of simplepredicting the damage state and crack initiation, and carrying out non-linear time history seismic analysisdemonstrated that the damage cumulation effect is considerable and important in structural seismic analysis

Keywords： hardening     regression analysis     computer program     cumulation hysteretic     strength    

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Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

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

Abstract: In this paper, considering the experimental results, three different models of multiple linear regressionevaluate the compressive strength of concrete with different mix designs, however, multiple linear regressionFinally, the sensitivity analysis (SA) for two different sets of parameters on the concrete compressive

Keywords： concrete     28 days compressive strength     multiple linear regression     artificial neural network     ANFIS     sensitivityanalysis (SA)    

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Response surface regression analysis on FeCrBSi particle in-flight properties by plasma spray

Runbo MA,Lihong DONG,Haidou WANG,Shuying CHEN,Zhiguo XING

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 250-257 doi: 10.1007/s11465-016-0401-2

Abstract:

This work discusses the interactive effects between every two of argon flow rate, voltage, and spray distance on in-flight particles by plasma spray and constructs models that can be used in predicting and analyzing average velocity and temperature. Results of the response surface methodology show that the interactive effects between voltage and spray distance on particle in-flight properties are significant. For a given argon flow rate, particle velocity and temperature response surface are obviously bending, and a saddle point exists. With an increase in spray distance, the interactive effects between voltage and argon flow rate on particle in-flight properties appear gradually and then weaken. With an increase in voltage, the interactive effects between spray distance and argon flow rate on particle in-flight properties change from appearing to strengthening and then to weakening.

Keywords： particle velocity     particle temperature     interactive effects     response surface    

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Seismic performance of viaducts with probabilistic method

ZHU Xi, WANG Jianmin

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 267-273 doi: 10.1007/s11709-007-0034-y

Abstract: equations for estimating the characteristic values of the curvature ductility factors are developed through regressionanalysis.and Ineremental Dynamic Method (IDM) (non-linear dynamic) analysis, respectively, in this paper.The structural fragility curves developed by CSM method can help make the structural analysis simpleand quick, avoiding the implementation of the dynamic response history analysis (RHA).

Keywords： uncertainty     Earthquake Engineering     regression analysis     accurate     fragility    

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Parametric analysis and design equation of ultimate capacity for unstiffened overlapped CHS K-joints

CHEN Yu, ZHAO Xianzhong, CHEN Yiyi

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2,   Pages 107-115 doi: 10.1007/s11709-008-0014-x

Abstract: The results of finite element parametric analysis indicate that the brace-to-chord thickness ratio hasformula predicting the ultimate capacity of overlapped CHS K-joints was derived by applying multivariate regressionanalysis.

Keywords： regression analysis     consistent     unstiffened     plasticity     overlapped    

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Parametric equations for notch stress concentration factors of rib–deck welds under bending loading

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 595-608 doi: 10.1007/s11709-021-0720-1

Abstract: of rib–deck welds requires notch stress concentration factors obtained from complex finite element analysisThen, we performed a parametric analysis to investigate the effects of multiple geometric parametersOn this basis, the multiple linear stepwise regression analysis was performed to obtain the optimal regressionconcentration factors estimated from the developed formulas show agree well with the finite element analysis

Keywords： notch stress concentration factor     rib–deck weld     parametric analysis     regression analysis     parametric    

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Mechanical properties of stabilized artificial organic soil

XU Riqing, GUO Yin, LIU Zengyong

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2,   Pages 161-165 doi: 10.1007/s11709-008-0023-9

Abstract: Based on the law obtained from the test, a strength prediction model was established by regression analysis

Keywords： compressive strength     stabilized     stabilization     regression analysis     stabilizer XGL2005    

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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

Abstract: Then on the basis of the simulated results, the multiple regression models were developed respectivelyAccording to the analysis of regression coefficients, the appropriate building envelope design schemesAt last, the regression model evaluations consisting of the simulation evaluations and the actual caseevaluations were performed to verify the feasibility and accuracy of the regression models.It is believed that the regression models developed in this paper can be used to estimate the energy

Keywords： regression model     energy consumption     building envelope     office building     different climates    

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PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants

Xuying Ma, Ian Longley, Jennifer Salmond, Jay Gao

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 3, doi: 10.1007/s11783-020-1221-5

Abstract: GDAL/OGR libraries are used to do spatial analysis in the modeling and prediction.Land use regression (LUR) models have been widely used in air pollution modeling.This regression-based approach estimates the ambient pollutant concentrations at un-sampled points ofself-developed software comprises four modules: a potential predictor variable generation module, a regression

Keywords： LUR     Air pollution modelling     GIS spatial analysis     GDAL/OGR Python     Pollutant concentration mapping    

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Energy consumption of 270 schools in Tianjin, China

Jincheng XING,Junjie CHEN,Jihong LING

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 217-230 doi: 10.1007/s11708-015-0352-z

Abstract: This paper presented an analysis of energy consumption of 270 schools located in the city of Tianjin,The analysis focused specifically on calculating the space heating energy consumption indexes and non-heatingThrough extensive statistical analysis of the data collected, this paper demonstrated that gross floorEventually, a linear regression equation was established to make a simple prediction about the total

Keywords： schools     energy consumption index     primary energy     energy saving     regression analysis    

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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

Abstract: Two approaches can be adopted in the estimation of the model parameters: stepwise regression, used inseveral of previous publications, and Lasso regression, which is newly incorporated in this paper forTherefore, DRSM with Lasso regression can provide faster and more accurate data-driven models for a variety

Keywords： data-driven modeling     pharmaceutical organic synthesis     Lasso regression     dynamic response surface methodology    

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Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1181-1198 doi: 10.1007/s11709-021-0744-6

Abstract: The obtained results are then checked statistically with nonlinear multiple regression (NMR) and artificial

Keywords： interaction     load sharing ratio     piled raft     nonlinear regression     artificial neural network    

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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

Abstract: referred in various international code of practices and standard texts for an unsophisticated and quick analysisfor limited values of the input variables and hence again complicates the process of automation of analysisTherefore, this paper presents a non-linear regression model for the analysis of effect of embedment

Keywords： settlement     embedment     Fox depth correction factor     regression     multivariable    

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Title Author Date Type Operation

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

Seismic analysis of steel structures considering damage cumulation

SHEN Zuyan, WU Aihui

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

Response surface regression analysis on FeCrBSi particle in-flight properties by plasma spray

Runbo MA,Lihong DONG,Haidou WANG,Shuying CHEN,Zhiguo XING

Journal Article

Seismic performance of viaducts with probabilistic method

ZHU Xi, WANG Jianmin

Journal Article

Parametric analysis and design equation of ultimate capacity for unstiffened overlapped CHS K-joints

CHEN Yu, ZHAO Xianzhong, CHEN Yiyi

Journal Article

Parametric equations for notch stress concentration factors of rib–deck welds under bending loading

Journal Article

Mechanical properties of stabilized artificial organic soil

XU Riqing, GUO Yin, LIU Zengyong

Journal Article

Multiple regression models for energy consumption of office buildings in different climates in China

Siyu ZHOU, Neng ZHU

Journal Article

PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants

Xuying Ma, Ian Longley, Jennifer Salmond, Jay Gao

Journal Article

Energy consumption of 270 schools in Tianjin, China

Jincheng XING,Junjie CHEN,Jihong LING

Journal Article

Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Journal Article

Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based

Journal Article

Multivariable regression model for Fox depth correction factor

Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL

Journal Article