首页|Researchers at Norwegian Geotechnical Institute Report New Data on Geotechnical Engineering (Evaluation Structures for Machine Learning Models In Geotechnical E ngineering)
Researchers at Norwegian Geotechnical Institute Report New Data on Geotechnical Engineering (Evaluation Structures for Machine Learning Models In Geotechnical E ngineering)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on En gineering-Geotechnical Engineering. According to news reporting originating fr om Oslo, Norway, by NewsRx correspondents, research stated, "There is currently a lot of interest in applying machine learning (ML) techniques to problems in ge otechnical (soil and rock) engineering and adjacent fields such as engineering g eology. Recent literature emphasizes the need to focus beyond methodological cha llenges, and the importance of data centricity, transparency, suitability for pr actice and geotechnical context-together, the so-called ‘data-centric geotechn ics." Our news editors obtained a quote from the research from Norwegian Geotechnical Institute, "This review paper offers additional perspective to be contemplated f or successful applications of ML in geotechnics: one should explore and discuss (i) the problem to be solved, (ii) the type, quality and quantity of data, and ( iii) the methodology/algorithm. The paper further discusses that more strict gui delines and protocols are required for evaluating data and trained ML models if they are to be accepted and successfully integrated into practice." According to the news editors, the research concluded: "In the transition to dat a-centric practices, geotechnical engineering, a traditionally data-poor field, has much to learn from fields where decisionmaking based on data has a long and rich history."
OsloNorwayEuropeCyborgsEmerging TechnologiesEngineeringGeotechnical EngineeringMachine LearningNorwegian Geotechnical Institute
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