日期:05/07/2019 点击量: 344次
	
 
Dr. Mostafa Gandomi
University of Tehran
	
Research Area:
Tsunami modeling, Breakwater design, Reliability analysis and risk management, Artificial intelligence, Multi-objective optimization, machine learning
	
Research Experience:
| 
					 Multi expression programming: a new approach to formulation of soil classification  | 
				
					 2010  | 
			
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					 Prediction of maximum dry density and optimum moisture content of stabilised soil using RBF neural networks  | 
				
					 2009  | 
			
| 
					 Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement  | 
				
					 2014  | 
			
| 
					 Prediction of peak ground acceleration of Iran's tectonic regions using a hybrid soft computing technique  | 
				
					 2016  | 
			
| 
					 Application of a coupled simulated annealing-genetic programming algorithm to the prediction of bolted joints behavior  | 
				
					 2008  | 
			
| 
					 Formulation of shear strength of slender RC beams using gene expression programming, part II: With shear reinforcement  | 
				
					 2017  | 
			
| 
					 Comment on ‘Sivapragasam C, Maheswaran R, Venkatesh V. 2008. Genetic programming approach for flood routing in natural channels. Hydrological Processes 22: 623–628’  | 
				
					 2010  | 
			
| 
					 A data mining approach to compressive strength of CFRP-confined concrete cylinders  | 
				
					 2010  | 
			
| 
					 Empirical models for the prediction of flexural resistance and initial stiffness of welded beam-column joints  | 
				
					 2008  | 
			
| 
					 Probabilistic tsunami hazard assessment at Beris and Pasabandar ports with logic-tree approach  | 
				
					 2014  | 
			
| 
					 TSUNAMI RUN-UP MODELING USING EQUIVALENT ROUGHNESS MODEL  | 
				
					 2014  | 
			
| 
					 Investigation of Hydrodynamic behavior of permeable breakwaters with porous core using multilayer perceptron neural networks  | 
				
					 2018  | 
			

