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 · 341 citations

Engineering, Machine Learning, Extreme Learning Machine +8

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 · 263 citations · Full text

Search Optimization, Engineering, Behavior Prediction +16

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

Cementation, Engineering, Portland Cement +15

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 · 170 citations

Structural Integrity, Engineering, Artificial Intelligence Techniques +12

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 · 149 citations

Elevated Temperatures, Engineering, Machine Learning +14