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

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    

Prediction of bed load sediments using different artificial neural network models

Reza ASHEGHI, Seyed Abbas HOSSEINI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 374-386 doi: 10.1007/s11709-019-0600-0

Keywords： bed load prediction     artificial neural network     modeling     empirical equations    

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    

Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network

Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 215-239 doi: 10.1007/s11709-018-0489-z

Keywords： bentonite/sepiolite plastic concrete     compressive strength     artificial neural network     support vector machine    

Real-time tool condition monitoring method based on temperature measurement and artificial neural network

Frontiers of Mechanical Engineering doi: 10.1007/s11465-021-0661-3

Keywords： tool condition monitoring     cutting temperature     neural network     learning rate adaption    

Liquefaction assessment using microtremor measurement, conventional method and artificial neural network

Sadegh REZAEI,Asskar Janalizadeh CHOOBBASTI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 292-307 doi: 10.1007/s11709-014-0256-8

Keywords： liquefaction     microtremor     vulnerability index     artificial neural networks (ANN)     microzonation    

Service life prediction of fly ash concrete using an artificial neural network

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 793-805 doi: 10.1007/s11709-021-0717-9

Keywords： concrete     fly ash     carbonation     neural networks     experimental validation     service life    

Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificialneural networks

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1606-3

Keywords： HDPE     Pyrolysis     Kinetics     Thermogravimetric     ANOVA     Artificial neural network    

Assessing artificial neural network performance for predicting interlayer conditions and layer modulus

Lingyun YOU, Kezhen YAN, Nengyuan LIU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 487-500 doi: 10.1007/s11709-020-0609-4

Keywords： asphalt pavement     interlayer conditions     finite element method     artificial neural network     back-calculation    

An artificial neural network model on tensile behavior of hybrid steel-PVA fiber reinforced concrete

Fangyu LIU, Wenqi DING, Yafei QIAO, Linbing WANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1299-1315 doi: 10.1007/s11709-020-0712-6

Keywords： artificial neural network     hybrid fiber reinforced concrete     tensile behavior     sensitivity analysis     stress-strain    

Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networksand an adaptive-network-based fuzzy inference system

J. Sargolzaei, A. Hedayati Moghaddam

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 3,   Pages 357-365 doi: 10.1007/s11705-013-1336-3

Keywords： oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

Innovative piled raft foundations design using artificial neural network

Meisam RABIEI, Asskar Janalizadeh CHOOBBASTI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 138-146 doi: 10.1007/s11709-019-0585-8

Keywords： innovative design     piled raft foundation     neural network     optimization    

An efficient stochastic dynamic analysis of soil media using radial basis function artificial neuralnetwork

P. ZAKIAN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 4,   Pages 470-479 doi: 10.1007/s11709-017-0440-8

Keywords： stochastic analysis     random seismic excitation     finite element method     artificial neural network     frequency    

Prediction of selected biodiesel fuel properties using artificial neural network

Solomon O. GIWA,Sunday O. ADEKOMAYA,Kayode O. ADAMA,Moruf O. MUKAILA

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 433-445 doi: 10.1007/s11708-015-0383-5

Keywords： biodiesel     fuel properties     artificial neural network     fatty acid     prediction