摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习的新报告。根据新闻报道在泰国清迈，由News Rx编辑，研究表明，“微地震的准确识别”事件对于了解地下岩石变形、破裂行为和力学性质至关重要。本文提出了一种结合方向梯度直方图(HOG)和方向梯度直方图的方法微震IC波形识别的浅机器学习技术》。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Chiang Mai, Thailand, by News Rx editors, research stated, “Accurate identification of microseismicevents is vital for understanding underground rock deformation, rupture behavior, and mech anical properties.This study proposes a method that combines the Histogram of O rientation Gradient (HOG) andshallow machine learning techniques for microseism ic waveform recognition.”
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