首页|Studies from University of Toulouse Yield New Information about Machine Learning (A Hybrid Machine Learning and Evolutionary Approach To Material Selection and Design Optimization for Ecofriendly Structures)
Studies from University of Toulouse Yield New Information about Machine Learning (A Hybrid Machine Learning and Evolutionary Approach To Material Selection and Design Optimization for Ecofriendly Structures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Toulouse, France, by New sRx correspondents, research stated, “In an increasingly competitive and digital industrial environment, the optimization of structures is a key point not only to reduce costs but also to reduce the consumption of natural resources. To this end, different approaches have emerged throughout history based on the tools av ailable at the time.” Our news editors obtained a quote from the research from the University of Toulo use, “With the current rise of artificial intelligence and the concept of machin e learning, revolutionary ideas are emerging that allow an optimal dimensioning of structures in record time. This work presents the use of variational autoenco ders and mixed-variable solvers as a proposal for structural optimization and ma terial selection. It has expanded upon previous research by advancing in three d irections: (1) incorporating more material attributes, particularly relevant for environmental considerations; (2) analyzing in more detail aspects of VAEs such as the dimensionality of the latent space; and (3) a two-step hybrid approach t o select the optimal candidate: preliminary filtering with VAE and final design via mixed-variable model.”
ToulouseFranceEuropeCyborgsEmerg ing TechnologiesMachine LearningUniversity of Toulouse
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