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Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 657-666 doi: 10.1007/s11709-022-0827-z

Abstract: Multiple Logistic Regression (MLR) was used to predict the likelihood of RTAs.

Keywords： safety     rural accidents     multiple logistic regression     artificial neural networks    

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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 regressionenables us to reliably evaluate the compressive strength of concrete with different mix designs, however, multiplelinear regression model is not feasible enough in this area because of nonlinear relationship between

Keywords： concrete     28 days compressive strength     multiple linear regression     artificial neural network     ANFIS     sensitivity    

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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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Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization None

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 755-762 doi: 10.1631/FITEE.1601771

Abstract: important applications in machine learning follow the graph-guided optimization formulation, such as linear regression, logistic regression, Lasso, structured extensions of Lasso, and structured regularized logistic regressionWe conduct experiments on fused logistic regression and graph-guided regularized regression.

Keywords： Stochastic optimization     Graph-guided minimization     Extra-gradient method     Fused logistic regression     Graph-guidedregularized logistic regression    

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Man-machine verification of mouse trajectory based on the random forestmodel Research Articles

Zhen-yi XU, Yu KANG, Yang CAO, Yu-xiao YANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 925-929 doi: 10.1631/FITEE.1700442

Abstract: We also compare the RF model with the baseline models (logistic regression and support vector machine

Keywords： Man-machine verification     Random forest     Support vector machine     Logistic regression     Performance metrics    

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A method to predict cooling load of large commercial buildings based on weather forecast and internal occupancy

Junbao JIA,Jincheng XING,Jihong LING,Ren PENG

Frontiers in Energy 2016, Volume 10, Issue 4,   Pages 459-465 doi: 10.1007/s11708-016-0424-8

Abstract: The multiple linear feedback regression model was applied to predict, with precision, the air conditioning

Keywords： commercial building     load prediction     multiple linear regression    

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Models of thermodynamic and transport properties of POE VG68 and R410A/POE VG68 mixture

WEI Wenjian, DING Guoliang, HU Haitao, WANG Kaijian

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 227-234 doi: 10.1007/s11708-008-0020-7

Abstract: New models were developed by modifying the coefficients in existing correlations with multiple regression

Keywords： multiple regression     foundation     thermodynamic     influence     air-conditioning    

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Application of Vague Sets and Vague Graphics in ITS Logistic

Zhang Ran,Liu Yang,Xie Yanqing,Zhang Jiang,He Zhongxiong

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 57-63

Abstract: method, Vague multi-criterion decision-making, Vague graphics and their applications in the contemporary logisticAt last an example of Vague sets in logistic alterative selection according to the positive and negative

Keywords： intelligent logistic     artificial intelligence     Vague set     Vague chart     application in ITS logistic    

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Estimation of photolysis half-lives of dyes in a continuous-flow system with the aid of quantitative structure-property relationship

Davoud BEIKNEJAD,Mohammad Javad CHAICHI

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 5,   Pages 683-692 doi: 10.1007/s11783-014-0680-y

Abstract: study was carried out using 21 descriptors based on different chemometric tools including stepwise multiplelinear regression (MLR) and partial least squares (PLS) for the prediction of the photolysis half-life

Keywords： dye     photolysis half-life     quantitative structure-property relationship     continuous-flow     stepwise multiplelinear regression     partial least squares    

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Relationships of nitrous oxide fluxes with water quality parameters in free water surface constructed wetlands

Juan WU, Jian ZHANG, Wenlin JIA, Huijun XIE, Bo ZHANG

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 2,   Pages 241-247 doi: 10.1007/s11783-009-0023-6

Abstract: the chemical and physical water quality variables were studied by using principal component scores in multiplelinear regression analysis to predict N O flux.The multiple linear regression model against principal components indicated that different water parameters

Keywords： surface constructed wetland     nitrous oxide emission     water quality parameter     principal component analysis     multiplelinear regression    

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Predicting SARS for Guangdong, Beijing and Mainland China 2003 Cases

Wang Jianfeng

Strategic Study of CAE 2003, Volume 5, Issue 8,   Pages 23-29

Abstract: In order to model the SARS system, a generalized Logistic growth function has been adopted in the paperthe main features of evolution of the SARS population size have been obtained using the generalized Logistic

Keywords： SARS     generalized Logistic growth model     Gompertz function     prediction     optimization    

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Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang River Basin, north-west China

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 2,   Pages 177-187 doi: 10.15302/J-FASE-2017177

Abstract: To improve the accuracy of runoff forecasting, an uncertain multiple linear regression (UMLR) model isthe developed system, and help decision makers to identify reasonable crop planting structure under multiple

Keywords： optimization     inexact two-stage stochastic programming     runoff forecasting     Shiyang River Basin     uncertain multiplelinear regression    

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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: Therefore, this paper presents a non-linear regression model for the analysis of effect of embedmentThrough multiple iterations, the value of coefficient of determination is found to reach 0.987.

Keywords： settlement     embedment     Fox depth correction factor     regression     multivariable    

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Title Author Date Type Operation

Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

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

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

Siyu ZHOU, Neng ZHU

Journal Article

Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Journal Article

Man-machine verification of mouse trajectory based on the random forestmodel

Zhen-yi XU, Yu KANG, Yang CAO, Yu-xiao YANG

Journal Article

A method to predict cooling load of large commercial buildings based on weather forecast and internal occupancy

Junbao JIA,Jincheng XING,Jihong LING,Ren PENG

Journal Article

Models of thermodynamic and transport properties of POE VG68 and R410A/POE VG68 mixture

WEI Wenjian, DING Guoliang, HU Haitao, WANG Kaijian

Journal Article

Application of Vague Sets and Vague Graphics in ITS Logistic

Zhang Ran,Liu Yang,Xie Yanqing,Zhang Jiang,He Zhongxiong

Journal Article

Estimation of photolysis half-lives of dyes in a continuous-flow system with the aid of quantitative structure-property relationship

Davoud BEIKNEJAD,Mohammad Javad CHAICHI

Journal Article

Relationships of nitrous oxide fluxes with water quality parameters in free water surface constructed wetlands

Juan WU, Jian ZHANG, Wenlin JIA, Huijun XIE, Bo ZHANG

Journal Article

Predicting SARS for Guangdong, Beijing and Mainland China 2003 Cases

Wang Jianfeng

Journal Article

Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang River Basin, north-west China

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

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