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-调查人员讨论机器学习的新发现。根据消息来源由NewsRx通讯员撰写的Vandouwre-Les-Nancy，Franc E，研究称，“电特性”岩石的地球物理勘探广泛应用于矿物、油气等自然资源的地球物理勘探和地下水。在采矿勘探中,主要目标是绘制电异常地质图与不同泥化类型有关的特征，如粘土蚀变晕、金属氧化物和硫化物、风化结晶岩或破碎带。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news originatingfrom Vandoeuvre-les-Nancy, Franc e, by NewsRx correspondents, research stated, “The electrical propertiesof rock s are widely used in the geophysical exploration of natural resources, such as m inerals, hydrocarbonsand groundwater. In mining exploration, the primary goal i s to map electrically anomalous geologicalfeatures associated with different mi neralization styles, such as clay alteration haloes, metal oxides andsulphides, weathered crystalline rocks or fractured zones.”
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