首页|Data on Machine Learning Reported by Researchers at Polytechnic University Milan (Machine Learning Techniques for Diagrid Building Design: Architectural-structu ral Correlations With Feature Selection and Data Augmentation)
Data on Machine Learning Reported by Researchers at Polytechnic University Milan (Machine Learning Techniques for Diagrid Building Design: Architectural-structu ral Correlations With Feature Selection and Data Augmentation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Milan, Ita ly, by NewsRx correspondents, research stated, “Artificial intelligence (AI) and machine learning (ML) techniques are transforming building engineering. This wo rk goes through the critical role of architectural parameters in influencing the structural responses of tall buildings, with a special focus on diagrid structu res.” Our news editors obtained a quote from the research from Polytechnic University Milan, “The main aim of this study is to demonstrate how ML can improve the earl y design phase of diagrid buildings. Using a small, initially collected data set , enhanced through data augmentation, the classification of diagrid buildings in terms of design feasibility is investigated. This study identifies key architec tural and structural parameters, employing various filter and wrapper methods fo r feature selection. The results show that our methods are effective in producin g high -quality synthetic data, maintaining stable learning accuracies, and esta blishing accurate and robust relationships between architectural parameters and structural responses in diagrid buildings.”
MilanItalyEuropeCyborgsEmerging TechnologiesMachine LearningPolytechnic University Milan
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