Robotics & Machine Learning Daily News2024,Issue(Mar.21) :86-87.

Researchers from China University of Geosciences Report New Studies and Findings in the Area of Support Vector Machines [Coal Structure Ident ification Based On Geophysical Logging Data: Insights From Wavelet Transform (Wt ) and Particle Swarm ...]

Robotics & Machine Learning Daily News2024,Issue(Mar.21) :86-87.

Researchers from China University of Geosciences Report New Studies and Findings in the Area of Support Vector Machines [Coal Structure Ident ification Based On Geophysical Logging Data: Insights From Wavelet Transform (Wt ) and Particle Swarm ...]

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Support Vector Machines are discussed in a new report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Coal st ructure is closely related to microscopic and macroscopic properties of coal, an d its accurate identification is of great significance to coalbed methane (CBM) reservoir evaluation, hydraulic fracturing performance and production efficiency prediction. The identification of coal structure based on geophysical logging d ata has become a popular topic as well as a challenge.”

Key words

Beijing/People’s Republic of China/Asi a/Algorithms/Emerging Technologies/Machine Learning/Particle Swarm Optimizat ion/Support Vector Machines/Vector Machines/China University of Geosciences

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