首页|New Machine Learning Findings from Zhejiang University Reported (Machine Learnin g Prediction Model for Clay Electrical Conductivity and Its Application In Elect roosmosis Consolidation)
New Machine Learning Findings from Zhejiang University Reported (Machine Learnin g Prediction Model for Clay Electrical Conductivity and Its Application In Elect roosmosis Consolidation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Wenzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The electrical co nductivity of soil is closely associated with various physical properties of the soil, and accurately establishing the interrelationship between them has long b een a critical challenge limiting its widespread application. Traditional approa ches in geotechnical engineering have relied on specific conduction mechanisms a nd simplifying assumptions to construct theoretical models for electrical conduc tivity.” Funders for this research include Natural Science Foundation of Zhejiang Provinc e, National Natural Science Foundation of China (NSFC), Natural Science Foundati on of Zhejiang Province, Zhejiang Water Science and Technology Project.
WenzhouPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningZhejiang University
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