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