首页|Beijing Information Science and Technology University Researcher Describes Recen t Advances in Pattern Recognition and Artificial Intelligence (A Seismic Fault R ecognition Method Based on Region Energy Algorithm)
Beijing Information Science and Technology University Researcher Describes Recen t Advances in Pattern Recognition and Artificial Intelligence (A Seismic Fault R ecognition Method Based on Region Energy Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on pattern recognition and artificial intelligence have been published. According to news reporting origina ting from Beijing, People’s Republic of China, by NewsRx correspondents, researc h stated, “Fault recognition is a difficult problem in seismic exploration data interpretation, and there is still no solution both well in terms of accuracy an d signal-to-noise ratio. To solve this problem, based on the region energy algor ithm, a novel fault recognition method is proposed, which determines the directi on of fault tracking based on region energy when identifying fault points.” Funders for this research include National Natural Science Foundation of China; Key Laboratory of Petroleum Resources Research, Institute of Geology And Geophys ics, Chinese Academy of Sciences, Open Project.
Beijing Information Science and Technolo gy UniversityBeijingPeople’s Republic of ChinaAsiaAlgorithmsMachine Le arningPattern Recognition and Artificial Intelligence
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