首页|China University of Mining and Technology Researcher Releases New Data on Machin e Learning (Comparison of Machine Learning- Based Breakdown Pressure Prediction a nd Initiation Criteria in Hydraulic Fracturing Testing)
China University of Mining and Technology Researcher Releases New Data on Machin e Learning (Comparison of Machine Learning- Based Breakdown Pressure Prediction a nd Initiation Criteria in Hydraulic Fracturing Testing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Jiangsu, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Thebreakdo wn pressure ([Formula: see text]) is a cri tical index for assessing the effectiveness of reservoirstimulation. Achieving precise and efficient evaluation of [Formula: see text] under multiple influencingfactors is essential for deepening understanding of t he underlying mechanisms in reservoir stimulation.”
China University of Mining and Technolog yJiangsuPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMa chine LearningSupport Vector Machines
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