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

Modeling the compressive strength of high-strength concrete: An extreme learning approach

(2019) Abobakr Khalil Al-Shamiri et al.   CONSTRUCTION AND BUILDING MATERIALS

Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures

(2019) Javad Katebi et al.   ENGINEERING WITH COMPUTERS

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

(2019) Mahdi Shariati et al.   Applied Sciences-Basel

Experimental investigations on monotonic and cyclic behavior of steel pallet rack connections

(2018) Mahdi Shariati et al.   ENGINEERING FAILURE ANALYSIS

The prediction of ultimate pure bending moment of concrete-filled steel tubes by adaptive neuro-fuzzy inference system (ANFIS)

(2017) Hakan Basarir et al.   NEURAL COMPUTING & APPLICATIONS

Artificial neural network models for FRP-repaired concrete subjected to pre-damaged effects

(2017) Chau Khun Ma et al.   NEURAL COMPUTING & APPLICATIONS

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete

(2017) Faezehossadat Khademi et al.   Frontiers of Structural and Civil Engineering

Comparative performance of channel and angle shear connectors in high strength concrete composites: An experimental study

(2016) M. Shariati et al.   CONSTRUCTION AND BUILDING MATERIALS

Evaluating the modulus of elasticity of soil using soft computing system

(2016) L. K. Sharma et al.   ENGINEERING WITH COMPUTERS

A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure

(2016) Maryam Amiri et al.   ENGINEERING WITH COMPUTERS

Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

(2016) Ali Toghroli et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

(2016) M. Safa et al.   STEEL AND COMPOSITE STRUCTURES

Performance of shear connectors at elevated temperatures - A review

(2016) S.E.M. Shahabi et al.   STEEL AND COMPOSITE STRUCTURES

Shear Capacity of C-Shaped and L-Shaped Angle Shear Connectors

(2016) Farzad Tahmasbi et al.   PLoS One

Behavior of V-shaped angle shear connectors: experimental and parametric study

(2015) Mahdi Shariati et al.   MATERIALS AND STRUCTURES

Behavior of Tilted Angle Shear Connectors

(2015) Koosha Khorramian et al.   PLoS One

Fatigue energy dissipation and failure analysis of angle shear connectors embedded in high strength concrete

(2014) Mahdi Shariati et al.   ENGINEERING FAILURE ANALYSIS

Prediction of shear capacity of channel shear connectors using the ANFIS model

(2014) Ali Toghroli et al.   STEEL AND COMPOSITE STRUCTURES

Experimental assessment of angle shear connectors under monotonic and fully reversed cyclic loading in high strength concrete

(2013) Ali Shariati et al.   CONSTRUCTION AND BUILDING MATERIALS

Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission

(2013) Dalibor Petković et al.   ENERGY

Comparison of behaviour between channel and angle shear connectors under monotonic and fully reversed cyclic loading

(2012) Mahdi Shariati et al.   CONSTRUCTION AND BUILDING MATERIALS

Adaptive neuro-fuzzy estimation of conductive silicone rubber mechanical properties

(2012) Dalibor Petković et al.   EXPERT SYSTEMS WITH APPLICATIONS

Behaviour of C-shaped angle shear connectors under monotonic and fully reversed cyclic loading: An experimental study

(2012) Mahdi Shariati et al.   MATERIALS & DESIGN

Experimental assessment of channel shear connectors under monotonic and fully reversed cyclic loading in high strength concrete

(2011) Mahdi Shariati et al.   MATERIALS & DESIGN

Extended Bayesian information criteria for model selection with large model spaces

(2008) J. Chen et al.   BIOMETRIKA

Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN

(2008) B.K. Raghu Prasad et al.   CONSTRUCTION AND BUILDING MATERIALS