4.7 Article

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

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

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

Javad Katebi et al.

ENGINEERING WITH COMPUTERS (2020)

Article Computer Science, Artificial Intelligence

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

Hakan Basarir et al.

NEURAL COMPUTING & APPLICATIONS (2019)

Article Computer Science, Artificial Intelligence

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

Chau Khun Ma et al.

NEURAL COMPUTING & APPLICATIONS (2019)

Article Construction & Building Technology

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

Abobakr Khalil Al-Shamiri et al.

CONSTRUCTION AND BUILDING MATERIALS (2019)

Article Engineering, Mechanical

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

Mahdi Shariati et al.

ENGINEERING FAILURE ANALYSIS (2018)

Article Computer Science, Interdisciplinary Applications

Evaluating the modulus of elasticity of soil using soft computing system

L. K. Sharma et al.

ENGINEERING WITH COMPUTERS (2017)

Article Engineering, Civil

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

Faezehossadat Khademi et al.

FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING (2017)

Article Construction & Building Technology

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

Mahdi Shariati et al.

MATERIALS AND STRUCTURES (2016)

Article Construction & Building Technology

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

M. Shariati et al.

CONSTRUCTION AND BUILDING MATERIALS (2016)

Article Computer Science, Interdisciplinary Applications

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

Maryam Amiri et al.

ENGINEERING WITH COMPUTERS (2016)

Review Construction & Building Technology

Performance of shear connectors at elevated temperatures-A review

S. E. M. Shahabi et al.

STEEL AND COMPOSITE STRUCTURES (2016)

Article Multidisciplinary Sciences

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

Farzad Tahmasbi et al.

PLOS ONE (2016)

Article Multidisciplinary Sciences

Behavior of Tilted Angle Shear Connectors

Koosha Khorramian et al.

PLOS ONE (2015)

Article Construction & Building Technology

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

Ali Shariati et al.

CONSTRUCTION AND BUILDING MATERIALS (2014)

Article Construction & Building Technology

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

Ali Toghroli et al.

STEEL AND COMPOSITE STRUCTURES (2014)

Article Construction & Building Technology

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

Mahdi Shariati et al.

CONSTRUCTION AND BUILDING MATERIALS (2013)

Article Computer Science, Artificial Intelligence

Adaptive neuro-fuzzy estimation of conductive silicone rubber mechanical properties

Dalibor Petkovic et al.

EXPERT SYSTEMS WITH APPLICATIONS (2012)

Article Materials Science, Multidisciplinary

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

Mahdi Shariati et al.

MATERIALS & DESIGN (2012)

Article Construction & Building Technology

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

B. K. Raghu Prasad et al.

CONSTRUCTION AND BUILDING MATERIALS (2009)

Article Computer Science, Artificial Intelligence

Extreme learning machine: Theory and applications

Guang-Bin Huang et al.

NEUROCOMPUTING (2006)

Article Automation & Control Systems

Orthogonal forward selection and backward elimination algorithms for feature subset selection

KZ Mao

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2004)

Article Computer Science, Artificial Intelligence

Learning capability and storage capacity of two-hidden-layer feedforward networks

GB Huang

IEEE TRANSACTIONS ON NEURAL NETWORKS (2003)