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논문 기본 정보

자료유형
학술저널
저자정보
Yan Cao (Xi’an Technological University) Yousef Zandi (Islamic Azad University) Alireza Sadighi Agdas (Ghateh Gostar Novin Company) Qiangfeng Wang (Xi’an Technological University) Xueming Qian (Xi’an Technological University) Leijie Fu (Xi’an Technological University) Karzan Wakil (University of Halabja) Abdellatif Selmi (Prince Sattam Bin Abdulaziz University) Alibek Issakhov (Al-Farabi Kazakh National University) Angel Roco-Videla (Universidad Bernardo O´Higgins)
저널정보
국제구조공학회 Steel and Composite Structures, An International Journal Steel and Composite Structures, An International Journal Vol.39 No.6
발행연도
2021.1
수록면
685 - 700 (16page)

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This paper is aimed to review the use of artificial intelligence (AI) algorithms in diverse civil engineering applications such as predicting and evaluating the different parameters of composite beams and shear connectors and determining the compressive strength of concrete. Also, the application of AI methods especially artificial neural network (ANN) in construction engineering and management including prediction and estimation, decision-making, classification or selection, optimization and risk analysis and safety has been thoroughly discussed. Furthermore, the integration of Artificial Neural network (ANN) with other soft computing methods, such as Backpropagation (BP), imperialist competitive algorithm (ICA), support vector regression (SVR), back-propagation neural network (BPNN), Genetic Algorithms (GA) and Multilayer feed forward (MLFF) has been reviewed. It has been reported that the combination of ANN with other intelligence algorithms leads to providing more accurate results. Moreover, the performance of ANN with other soft computing techniques, such as BP, BPNN, SVR, GA, ICA, and MLFF in various fields has been compared and ANN in many cases had superiority over other models.

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