Robotics & Machine Learning Daily News2024,Issue(Oct.23) :9-10.

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)

Robotics & Machine Learning Daily News2024,Issue(Oct.23) :9-10.

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)

扫码查看

Abstract

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.”

Key words

China Geological Survey/Changsha/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文