Mohammad Saeed Mafipour

A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

Mahdi Shariati, Mohammad Saeed Mafipour, Behzad Ghahremani et al. · Engineering With Computers · 2020 · 356 citations

Engineering, Civil Engineering, Materials Engineering +14

Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

Mahdi Shariati, Mohammad Saeed Mafipour, Peyman Mehrabi et al. · Applied Sciences · 2019 · 271 citations · Full text

Engineering, Civil Engineering, Materials Engineering +17

Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)

Mahdi Shariati, Mohammad Saeed Mafipour, Peyman Mehrabi et al. · Smart Structures and Systems · 2020 · 177 citations

Computing, Civil Engineering, Materials Engineering +17

A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques

Mahdi Shariati, Mohammad Saeed Mafipour, Peyman Mehrabi et al. · Engineering With Computers · 2020 · 171 citations

Engineering, Materials Engineering, Materials Science +8

Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures

Mahdi Shariati, Mohammad Saeed Mafipour, Peyman Mehrabi et al. · Steel and Composite Structures · 2019 · 151 citations

Engineering, Civil Engineering, Computer Science +17