Robotics & Machine Learning Daily News2024,Issue(Jul.16) :40-40.

Research from Sichuan Agricultural University Reveals New Findings on Machine Le arning (Modeling landslide susceptibility using alternating decision tree and su pport vector)

Robotics & Machine Learning Daily News2024,Issue(Jul.16) :40-40.

Research from Sichuan Agricultural University Reveals New Findings on Machine Le arning (Modeling landslide susceptibility using alternating decision tree and su pport vector)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According tonews reporting from Sichuan Agricult ural University by NewsRx journalists, research stated, “Globally,but especiall y in the Chinese Loess Plateau, landslides are considered to be one of the most severe andsignificant geological hazards. The purpose of this study is to desig n two ensemble machine learningmethods, which are denoted as ADTree-Dagging and SVM-Dagging, for modeling landslide susceptibilityin Lanzhou City (China).”

Key words

Sichuan Agricultural University/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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