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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
QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency
Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1, Pages 25-36 doi: 10.1007/s11709-022-0908-z
Keywords: tunnel boring machine control parameter optimization quantum particle swarm optimization artificialneural network tunneling energy efficiency
Yaolin LIN, Wei YANG
Frontiers in Energy 2021, Volume 15, Issue 2, Pages 550-563 doi: 10.1007/s11708-019-0607-1
Keywords: ANN (artificial neural network) exhaustive-listing building shape optimization thermal load thermal comfort
Simarjit KAUR, Yajvender Pal VERMA, Sunil AGRAWAL
Frontiers in Energy 2013, Volume 7, Issue 4, Pages 468-478 doi: 10.1007/s11708-013-0282-6
Keywords: artificial neural network (ANN) frequency prediction availability-based tariff (ABT) generation scheduling
Christopher John NASSAU, N. Scott LITOFSKY, Yuyi LIN
Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3, Pages 247-255 doi: 10.1007/s11465-012-0335-2
Keywords: anterior lumbar interbody fusion (ALIF) artificial neural network (ANN) finite element interbody cage
Yasser SHARIFI,Sajjad TOHIDI
Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 2, Pages 167-177 doi: 10.1007/s11709-014-0236-z
Keywords: steel I-beams lateral-torsional buckling finite element (FE) method artificial neural network (ANN) approach
Experimental investigation and ANN modeling on improved performance of an innovative method of using
Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY
Frontiers in Energy 2013, Volume 7, Issue 3, Pages 279-287 doi: 10.1007/s11708-013-0268-4
Keywords: ocean wave energy point absorbers heaving body non-floating object heave response ratio artificial neuralnetwork (ANN)
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
RBF-ANN-Based forecast method of transmutation of wall rock on multi-arch tunne
Xiao Zhiwang,Zhong Denghua
Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 77-81
Keywords: multi-arch tunnel deformation of wall rock deformation forecast radial basis function (RBF) artificialneural network (ANN)
Pijush Samui, Jagan J
Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2, Pages 133-136 doi: 10.1007/s11709-013-0202-1
Keywords: unsaturated soil effective stress parameter Gaussian process regression (GPR) artificial neural network(ANN) variance
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
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
Frontiers of Mechanical Engineering doi: 10.1007/s11465-021-0661-3
Keywords: tool condition monitoring cutting temperature neural network learning rate adaption
Comparison of modeling methods for wind power prediction: a critical study
Rashmi P. SHETTY, A. SATHYABHAMA, P. Srinivasa PAI
Frontiers in Energy 2020, Volume 14, Issue 2, Pages 347-358 doi: 10.1007/s11708-018-0553-3
Keywords: power curve method of least squares cubic spline interpolation response surface methodology artificialneural network (ANN)
Title Author Date Type Operation
Liquefaction assessment using microtremor measurement, conventional method and artificial neural network
Sadegh REZAEI,Asskar Janalizadeh CHOOBBASTI
Journal Article
QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency
Journal Article
An ANN-exhaustive-listing method for optimization of multiple building shapes and envelope properties
Yaolin LIN, Wei YANG
Journal Article
Optimal generation scheduling in power system using frequency prediction through ANN under ABT environment
Simarjit KAUR, Yajvender Pal VERMA, Sunil AGRAWAL
Journal Article
of spinal lumbar interbody fusion cage subsidence using Taguchi method, finite element analysis, and artificialneural network
Christopher John NASSAU, N. Scott LITOFSKY, Yuyi LIN
Journal Article
Lateral-torsional buckling capacity assessment of web opening steel girders by artificial neural networks
Yasser SHARIFI,Sajjad TOHIDI
Journal Article
Experimental investigation and ANN modeling on improved performance of an innovative method of using
Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY
Journal Article
Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based artificialneural network
Journal Article
Prediction of bed load sediments using different artificial neural network models
Reza ASHEGHI, Seyed Abbas HOSSEINI
Journal Article
RBF-ANN-Based forecast method of transmutation of wall rock on multi-arch tunne
Xiao Zhiwang,Zhong Denghua
Journal Article
Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach
Pijush Samui, Jagan J
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
Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network
Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST
Journal Article
Real-time tool condition monitoring method based on temperature measurement and artificial neural network
Journal Article