首页|New Study Findings from Chinese Academy of Sciences Illuminate Research in Machi ne Learning (Prediction of the Unconfined Compressive Strength of Salinized Froz en Soil Based on Machine Learning)
New Study Findings from Chinese Academy of Sciences Illuminate Research in Machi ne Learning (Prediction of the Unconfined Compressive Strength of Salinized Froz en Soil Based on Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Lanzhou, People’s Re public of China, by NewsRx correspondents, research stated, “Unconfined compress ive strength (UCS) is an important parameter of rock and soil mechanical behavio r in foundation engineering design and construction. In this study, salinized fr ozen soil is selected as the research object, and soil GDS tests, ultrasonic tes ts, and scanning electron microscopy (SEM) tests are conducted.” Funders for this research include Independent Project of The State Key Laborator y of Frozen Soil Engineering.
Chinese Academy of SciencesLanzhouPe ople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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