首页|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 ...]
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
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
BeijingPeople’s Republic of ChinaAsi aAlgorithmsEmerging TechnologiesMachine LearningParticle Swarm Optimizat ionSupport Vector MachinesVector MachinesChina University of Geosciences
NETL
NSTL
