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

Keywords： safety     rural accidents     multiple logistic regression     artificial neural networks    

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    

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

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

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

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

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

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

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

Keywords： commercial building     load prediction     multiple linear regression    

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

Keywords： multiple regression     foundation     thermodynamic     influence     air-conditioning    

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

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

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

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

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

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

Predicting SARS for Guangdong, Beijing and Mainland China 2003 Cases

Wang Jianfeng

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

Keywords： SARS     generalized Logistic growth model     Gompertz function     prediction     optimization    

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

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

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

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

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    

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