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

Xinjiang Agricultural University Researcher Updates Current Data on Support Vect or Machines (Inversion Study on Landslide Seepage Field Based on Swarm Intellige nce Optimization Least-Square Support Vector Machine Algorithm)

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

Xinjiang Agricultural University Researcher Updates Current Data on Support Vect or Machines (Inversion Study on Landslide Seepage Field Based on Swarm Intellige nce Optimization Least-Square Support Vector Machine Algorithm)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in . According to new s originating from Urumqi, People’s Republic ofChina, by NewsRx correspondents, research stated, “The permeability coefficient of landslide mass, a keyparamet er in the study of reservoir landslides, is commonly obtained through in situ an d laboratory tests;however, the tests are costly and subject to high variabilit y, leading to potential biases. In this paper,a new method was proposed to inve rsely estimate the permeability coefficient of landslide layers usingmonitoring data of groundwater level (GWL).”

Key words

Xinjiang Agricultural University/Urumqi/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine L earning/Support Vector Machines/Swarm Intelligence/Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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