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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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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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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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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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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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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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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

Abstract: With this study, along with the conventional methods of simple and multiple linear regression models,

Keywords： undrained shear strength     linear regression     random forest     gradient boosting     machine learning     standard    

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Study of cold sky calibration and geophysical parameters retrieval for HY-2A satellite scanning microwave radiometer

Zhou Wu,Lin Mingsen,Li Yanmin,Wang Zhenzhan and Huang Lei

Strategic Study of CAE 2013, Volume 15, Issue 7,   Pages 75-80

Abstract: brightness temperature under different conditions of each frequency and polarization was calculated, and a linearregression model was established to fit different geophysical parameters retrieval coefficient, usingmultiple linear regression algorithm retrieving HY-2A microwave scanning radiometer geophysical parameters

Keywords： scanning microwave radiometer     multiple linear regression     multi satellites cross over     cold shy calibration    

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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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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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Influence of accelerated curing on the compressive strength of polymer-modified concrete

Izhar AHMAD; Kashif Ali KHAN; Tahir AHMAD; Muhammad ALAM; Muhammad Tariq BASHIR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 589-599 doi: 10.1007/s11709-022-0789-1

Abstract: as a reference strength on the basis of which all the specified strengths were predicted by means of linearregression fit.difference from the actual strength values for all the mixes, which indicates the practicability of the regression

Keywords： compressive strength prediction     polymer-modified concrete     linear regression fit     early age strength    

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Option-like properties in the distribution of hedge fund returns

Katharina DENK, Ben DJERROUD, Luis SECO, Mohammad SHAKOURIFAR, Rudi ZAGST

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 275-286 doi: 10.1007/s42524-020-0095-3

Abstract: investigates two different model approaches for the equity long/short strategy, where weighted segmented linearregression models are employed and combined with two-state Markov switching models.

Keywords： hedge funds     hedge fund index     segmented linear regression models     regime-switching models     mimicking portfolios    

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Design and analysis of linear oscillating motor for linear pump application-magnetic field, dynamics

Zongxia JIAO,Tianyi WANG,Liang YAN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 4,   Pages 351-362 doi: 10.1007/s11465-016-0407-9

Abstract:

A linear oscillating motor is an electromagnetic actuator that can achieve short-stroke reciprocatingIt has been widely used in linear pump applications as the source of power and motion.However, because of the demand of high power density in a linear actuation system, the performance oflinear oscillating motors has been the focus of studies and deserves further research for high powerlinear pump applications.

Keywords： linear oscillating motor     linear pump     magnetic field     motor optimization    

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Comparison between linear and non-linear forms of pseudo-first-order and pseudo-second-order adsorption

Junxiong LIN , Lan WANG ,

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 3,   Pages 320-324 doi: 10.1007/s11783-009-0030-7

Abstract: The best-fit equations of linear and non-linear forms of the two widely used kinetic models, namely pseudo-first-orderThe results show that the non-linear forms of pseudo-first-order and pseudo-second-order models weremore suitable than the linear forms for fitting the experimental data.The experimental kinetics may have been distorted by linearization of the linear kinetic equations, andthus, the non-linear forms of kinetic equations should be primarily used to obtain the adsorption parameters

Keywords： adsorption     pseudo-first order     pseudo-second order     kinetic model     linear method     non-linear method    

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Optimal Antibody Purification Strategies Using Data-Driven Models Article

Songsong Liu, Lazaros G. Papageorgiou

Engineering 2019, Volume 5, Issue 6,   Pages 1077-1092 doi: 10.1016/j.eng.2019.10.011

Abstract: The piecewise linear regression modeling method is adapted due to its simplicity and better predictionThese MINLP models are then reformulated as mixed-integer linear programming (MILP) models using linearization

Keywords： Multiscale optimization     Antigen-binding fragment     Mixed-integer programming     Data-driven model     Piecewise linearregression    

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Title Author Date Type Operation

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

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

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

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

Siyu ZHOU, Neng ZHU

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

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

SPT based determination of undrained shear strength: Regression models and machine learning

Walid Khalid MBARAK, Esma Nur CINICIOGLU, Ozer CINICIOGLU

Journal Article

Study of cold sky calibration and geophysical parameters retrieval for HY-2A satellite scanning microwave radiometer

Zhou Wu,Lin Mingsen,Li Yanmin,Wang Zhenzhan and Huang Lei

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

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

Influence of accelerated curing on the compressive strength of polymer-modified concrete

Izhar AHMAD; Kashif Ali KHAN; Tahir AHMAD; Muhammad ALAM; Muhammad Tariq BASHIR

Journal Article

Option-like properties in the distribution of hedge fund returns

Katharina DENK, Ben DJERROUD, Luis SECO, Mohammad SHAKOURIFAR, Rudi ZAGST

Journal Article

Design and analysis of linear oscillating motor for linear pump application-magnetic field, dynamics

Zongxia JIAO,Tianyi WANG,Liang YAN

Journal Article

Comparison between linear and non-linear forms of pseudo-first-order and pseudo-second-order adsorption

Junxiong LIN , Lan WANG ,

Journal Article

Optimal Antibody Purification Strategies Using Data-Driven Models

Songsong Liu, Lazaros G. Papageorgiou

Journal Article