- Predicting and Optimizing the Influenced Parameters for Culvert Outlet Scouring Utilizing Coupled FLOW 3D-Surrogate Modeling. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 47, n. 3 (décembre 2022). (2022):
- Damage detection in structural beam elements using hybrid neuro fuzzy systems. Dans: Smart Structures and Systems, v. 16, n. 6 (décembre 2015). (2015):
- Modeling flexural overstrength factor for steel beams using heuristic soft-computing methods. Dans: Structures, v. 34 (décembre 2021). (2021):
- Investigating Application of Adaptive Neuro Fuzzy Inference Systems Method and Epanet Software for Modeling Green Space Water Distribution Network. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 45, n. 4 (septembre 2021). (2021):
- Modeling of Dissolved Oxygen Concentration Using Different Neural Network Techniques in Foundation Creek, El Paso County, Colorado. Dans: Journal of Environmental Engineering (ASCE), v. 138, n. 6 (juin 2012). (2012):
- Prediction of Millers Ferry Dam Reservoir Level in USA Using Artificial Neural Network. Dans: Periodica Polytechnica Civil Engineering, v. 59, n. 3 ( 2015). (2015):
- Kızılırmak Nehrinde Bazı İstasyonlardaki Akımların Trend Analizi. Dans: Teknik Dergi, v. 28, n. 2 (avril 2017). (2017):
- Damage Diagnosis in Beam-like Structures By Artificial Neural Networks. Dans: Journal of Civil Engineering and Management, v. 21, n. 5 (mai 2015). (2015):
- Applicability of a Fuzzy Genetic System for Crack Diagnosis in Timoshenko Beams. Dans: Journal of Computing in Civil Engineering, v. 29, n. 5 (septembre 2015). (2015):
- Prediction of Short-Term Operational Water Levels Using an Adaptive Neuro-Fuzzy Inference System. Dans: Journal of Waterway, Port, Coastal, and Ocean Engineering, v. 137, n. 6 (novembre 2011). (2011):
- Modeling dimensionless longitudinal dispersion coefficient in natural streams using artificial intelligence methods. Dans: KSCE Journal of Civil Engineering, v. 18, n. 2 (janvier 2014). (2014):
- Estimation of dissolved oxygen by using neural networks and neuro fuzzy computing techniques. Dans: KSCE Journal of Civil Engineering, v. 21, n. 5 (août 2016). (2016):
- Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques. Dans: Materials and Structures, v. 49, n. 10 (octobre 2016). (2016):
- A combined generalized regression neural network wavelet model for monthly streamflow prediction. Dans: KSCE Journal of Civil Engineering, v. 15, n. 8 (novembre 2011). (2011):
- An artificial neural network model for the prediction of critical submergence for intake in a stratified fluid medium. Dans: Civil Engineering and Environmental Systems, v. 26, n. 4 (décembre 2009). (2009):
- Bridge afflux analysis through arched bridge constrictions using artificial intelligence methods. Dans: Civil Engineering and Environmental Systems, v. 26, n. 3 (septembre 2009). (2009):
- Comparison of different ANN techniques in river flow prediction. Dans: Civil Engineering and Environmental Systems, v. 24, n. 3 (septembre 2007). (2007):
- Initial assessment of bridge backwater using an artificial neural network approach. Dans: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 35, n. 5 (mai 2008). (2008):
- Suspended sediment prediction using two different feed-forward back-propagation algorithms. Dans: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 34, n. 1 (janvier 2007). (2007):