首页|Study Findings on Machine Learning Discussed by a Researcher at China Geological Survey (A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensembl e Machine-Learning to Predict Landslide Susceptibility)
Study Findings on Machine Learning Discussed by a Researcher at China Geological Survey (A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensembl e Machine-Learning to Predict Landslide Susceptibility)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting originating from Changsha, People ’s Republic of China, by NewsRx correspondents, research stated, “The accuracy o f data-driven landslide susceptibility prediction depends heavily on the quality of nonlandslide samples and the selection of machine-learning algorithms. Curr ent methods rely on artificial prior knowledge to obtain negative samples from l andslide-free regions or outside the landslide buffer zones randomly and quickly but often ignore the reliability of non-landslide samples, which will pose a se rious risk of including potential landslides and lead to erroneous outcomes in t raining data.”
China Geological SurveyChangshaPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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