An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates

225 indexed citations

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This paper, published in 2021, received 225 indexed citations. Written by Samir Khatir, Samir Tiachacht, Thanh Cuong‐Le, Emad Ghandourah, Seyedali Mirjalili and Magd Abdel Wahab covering the research area of Civil and Structural Engineering, Mechanics of Materials and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Civil and Structural Engineering (104 citations), Mechanics of Materials (72 citations) and Artificial Intelligence (46 citations). Published in Composite Structures.

Countries where authors are citing An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates

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Fields of papers citing An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

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This paper is also available at doi.org/10.1016/j.compstruct.2021.114287.

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