【摘要】 本文采用自学模式识别法,把抽象集划分问题转化成数学点集划分问题;并通过数量化理论Ⅲ和Kalma滤液,把数学点集划分过程用核参数δ_i来实现;最后还利用此法对新疆哈密地区几十个航磁异常进行了识别,对识别结果进行地质解释,并阐明了含铜镍超基性岩类的地质、构造及空间展布特征。更多还原

【Abstract】 In this paper, the writers adopt wilf-learning pattern recognition so as to transform the problem about the division of abstract sets into the division problem of numeral sets.With the help of the theory III of quantification and Kalman’s filter, they can classify the numeral sets by the Kernel parameter, δ = (xkii, Rkii), Lastly, they apply the method to classify aeromagnetic anomalies of Ha Mi region in Xinjiang Province and explain the results in geology. They expound the characteristics in geology, tectonics, and space distribution of ultraba-sic rocks which contain Cu and Ni elements.更多还原