首页|New Machine Learning Findings Has Been Reported by Investigators at University o f Bordeaux (Predicting Compressed Earth Blocks Compressive Strength By Means of Machine Learning Models)
New Machine Learning Findings Has Been Reported by Investigators at University o f Bordeaux (Predicting Compressed Earth Blocks Compressive Strength By Means of Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting from Talence, France, by New sRx journalists, research stated, “Compressed Earth Blocks (CEB) are an interest ing alternative to conventional masonry units. They are unfired and provide a th ermal comfort in the constructions.” The news correspondents obtained a quote from the research from the University o f Bordeaux, “However, their compressive strength needs to be assessed to ensure a mechanical stability. The latter depends on the soil variability, as well as s everal manufacturing parameters such as water content, compaction pressure, stab ilizer type and proportion. This is challenging as it requires time and effort t o adapt the parameters to achieve satisfactory results. In this study, machine l earning classification models were trained using historical data for predicting CEB compressive strength. Voting Classifier (VC) provided the highest performanc e with an accuracy of 78 %. SHapley Additive exPlanations (SHAP) we re used to identify and prioritize the features in the model’s decision-making p rocess. The compaction pressure and soil granularity were the most decisive para meters.”
TalenceFranceEuropeCyborgsEmergi ng TechnologiesMachine LearningUniversity of Bordeaux
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