首页|Studies from Wuhan University Have Provided New Information about Machine Learning (Machine Learning Approach To Predicting the Macro-mechanical Properties of Rock From the Mesomechanical Parameters)
Studies from Wuhan University Have Provided New Information about Machine Learning (Machine Learning Approach To Predicting the Macro-mechanical Properties of Rock From the Mesomechanical Parameters)
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NETL
NSTL
Elsevier
Researchers detail new data in Machine Learning. According to news reporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “The determination of fundamental rock mechanical properties, uniaxial compression strength (UCS) and elastic modulus (E), constitutes a pivotal facet of rock engineering design. However, deriving these properties directly from standard laboratory tests on rock core samples can be challenging, especially when dealing with deep highstress rock formations and weak fractured strata.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Innovation Group Project of Hubei Provincial Natural Science Foundation, Fundamental Research Funds for the Central Universities.
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningWuhan University
NETL
NSTL
Elsevier
