Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression

This study aims to investigate the prediction of critical buckling load of steel columns using two hybrid Artificial Intelligence (AI) models such as Adaptive Neuro-Fuzzy Inference System optimized by Genetic Algorithm (ANFIS-GA) and Adaptive Neuro-Fuzzy Inference System optimized by Particle Swarm...

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Detalles Bibliográficos
Autores principales: Le, Lu Minh, Ly, Hai-Bang, Pham, Binh Thai, Le, Vuong Minh, Pham, Tuan Anh, Nguyen, Duy-Hung, Tran, Xuan-Tuan, Le, Tien-Thinh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566284/
https://www.ncbi.nlm.nih.gov/pubmed/31121948
http://dx.doi.org/10.3390/ma12101670

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566284/
https://www.ncbi.nlm.nih.gov/pubmed/31121948
http://dx.doi.org/10.3390/ma12101670

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