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 |
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 |