Sensitivity and robustness analysis of adaptive neuro-fuzzy inference system (ANFIS) for shear strength prediction of stud connectors in concrete

Sensitivity and robustness analysis of adaptive neuro-fuzzy inference system (ANFIS) for shear strength prediction of stud connectors in concrete

The shear strength of stud connectors is essential for designing steel-concrete structures, which is assessed only through a push-out test or available design codes. An alternative technique that eliminates the need to conduct the push-out test is soft computing (SC). The performance of any machine...

Full description

Bibliographic Details
Main Authors: Ahmed M. Yosri, AIB Farouk, S.I. Haruna, Ahmed farouk Deifalla, Walaa Mahmoud Shaaban
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Case Studies in Construction Materials
Subjects:
Stud connector
System identification
ANFIS
Artificial neural network
ELM
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509523002760

Similar Items

Similar Items