A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques - researchr publication related

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Mahdi Shariati, Mohammad Saeed Mafipour, Peyman Mehrabi, Ali Shariati, Ali Toghroli, Nguyen Thoi Trung, Musab N. A. Salih. A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques. Eng. Comput. (Lond.), 37(3):2089-2109, 2021. [doi]

The following publications are possibly variants of this publication:

Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy techniqueIman Mansouri, Mahdi Shariati, Maryam Safa, Zainah Ibrahim, M. M. Tahir, Dalibor Petkovic. jim, 30(3):1247-1257, 2019. [doi]

Retraction Note to: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy techniqueIman Mansouri, Mahdi Shariati, Maryam Safa, Zainah Ibrahim, M. M. Tahir, Dalibor Petkovic. jim, 31(1):267, 2020. [doi]

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