首页|Reports from Chalmers University of Technology Provide New Insights into Machine Learning (A Metamodel for Estimating Timedependent Groundwater-induced Subside nce At Large Scales)
Reports from Chalmers University of Technology Provide New Insights into Machine Learning (A Metamodel for Estimating Timedependent Groundwater-induced Subside nce At Large Scales)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published.According to news originating from Gothenburg, Sweden, by NewsRx correspondents, research stated, “Construction of large underground in frastructure facilities routinely leads to leakage of groundwater and reduction of pore water pressures, causing time-dependent deformation of overburden soft s oil.Coupled hydrogeomechanical numerical models can provide estimates of subsid ence, caused by the complex time-dependent processes of creep and consolidation, thereby increasing our understanding of when and where deformations will arise and at what magnitude.”
GothenburgSwedenEuropeCyborgsEme rging TechnologiesMachine LearningChalmers University of Technology
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