首页|New Machine Learning Study Findings Reported from Southeast University (Predicti on of Soil Thermal Conductivity Using Individual and Ensemble Machine Learning M odels)
New Machine Learning Study Findings Reported from Southeast University (Predicti on of Soil Thermal Conductivity Using Individual and Ensemble Machine Learning M odels)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Jiangsu, People’s Rep ublic of China, by NewsRx journalists, research stated, “Soil thermal conductivi ty (lambda) is an important parameter in thermal calculation and temperature-fie ld analysis in geotechnical engineering. To accurately predict it, this paper us es individual and ensemble machine learning methods to establish predictive mode ls.”
JiangsuPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSoutheast University
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