Search scope:
排序: Display mode:
T. Chandra Sekhara REDDY
Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4, Pages 490-503 doi: 10.1007/s11709-017-0445-3
Keywords: artificial neural networks root mean square error SIFCON silica fume metakaolin steel fiber
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
Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3, Pages 609-622 doi: 10.1007/s11709-020-0623-6
Keywords: Artificial Neural Networks seismic vulnerability masonry buildings damage estimation vulnerability curves
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 520-536 doi: 10.1007/s11709-021-0689-9
Keywords: unconfined compressive strength artificial neural network support vector machine predictive models regression
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
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1606-3
● Reducting the sampling frequency can enhance the modelling process.
Keywords: HDPE Pyrolysis Kinetics Thermogravimetric ANOVA Artificial neural network
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
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
S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG
Frontiers in Energy 2016, Volume 10, Issue 1, Pages 105-113 doi: 10.1007/s11708-016-0393-y
Keywords: day-ahead electricity markets price forecasting load forecasting artificial neural networks load serving
Arunachalam VELMURUGAN,Marimuthu LOGANATHAN,E. James GUNASEKARAN
Frontiers in Energy 2016, Volume 10, Issue 1, Pages 114-124 doi: 10.1007/s11708-016-0394-x
Keywords: cashew nut shell liquid (CNSL) artificial neural networks (ANN) thermal cracking mean square error (MSE
Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD
Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2, Pages 154-167 doi: 10.1007/s11465-015-0336-z
Keywords: trip information preview intelligent transportation state-of-charge trajectory builder immune systems artificialneural network
Estimation of optimum design of structural systems via machine learning
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1441-1452 doi: 10.1007/s11709-021-0774-0
Keywords: optimization metaheuristic algorithms harmony search structural designs machine learning artificialneural networks
Penetration Depth of Projectiles Into Concrete Using Artificial Neural Network
Li Jianguang,Li Yongchi,Wang Yulan
Strategic Study of CAE 2007, Volume 9, Issue 8, Pages 77-81
Keywords: neural networks dimensional analysis penetration depth of projectiles into concrete nonlinear mappingrelation RBF neural networks
Novel interpretable mechanism of neural networks based on network decoupling method
Frontiers of Engineering Management 2021, Volume 8, Issue 4, Pages 572-581 doi: 10.1007/s42524-021-0169-x
Keywords: neural networks interpretability dynamical behavior network decouple
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
Title Author Date Type Operation
Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network
T. Chandra Sekhara REDDY
Journal Article
Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks
J. Sargolzaei, A. Hedayati Moghaddam
Journal Article
The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for
Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE
Journal Article
Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
Journal Article
Lateral-torsional buckling capacity assessment of web opening steel girders by artificial neural networks
Yasser SHARIFI,Sajjad TOHIDI
Journal Article
Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificialneural networks
Journal Article
Liquefaction assessment using microtremor measurement, conventional method and artificial neural network
Sadegh REZAEI,Asskar Janalizadeh CHOOBBASTI
Journal Article
Day-ahead electricity price forecasting using back propagation neural networks and weighted least square
S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG
Journal Article
combustion and emission characteristics of diesel-thermal cracked cashew nut shell liquid blends using artificialneural network
Arunachalam VELMURUGAN,Marimuthu LOGANATHAN,E. James GUNASEKARAN
Journal Article
immune-inspired optimum state-of-charge trajectory estimation using upcoming route information preview and neuralnetworks for plug-in hybrid electric vehicles fuel economy
Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD
Journal Article
Penetration Depth of Projectiles Into Concrete Using Artificial Neural Network
Li Jianguang,Li Yongchi,Wang Yulan
Journal Article