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作 者:刘代志[1] 李夕海[1] 何志文[1] 张斌[1]
机构地区:[1]第二炮兵工程学院602室,陕西西安710025
出 处:《核电子学与探测技术》2005年第6期587-589,604,共4页Nuclear Electronics & Detection Technology
基 金:国家自然科学基金(40274044)资助
摘 要:地下核爆炸和天然地震的识别一直是国际核查的重点研究内容之一,基于地下核爆炸和天然地震事件的相关性,提出了一种非线性加权K-相关分类方法,对地下核爆炸和天然地震进行分类,详细阐述了它的分类原理,讨论了训练样本个数和K值两个参数的选取问题,并将它和最大相关法及K-近邻法进行了比较。实际分类结果表明了该方法的有效性。Automatic discrimination of underground nuclear explosions and natural earthquakes is always worth to study because of the problem of classification accuracy. In this paper, a method of nonlinear weighting K-correlation is proposed to discriminate the underground nuclear explosions and natural earthquakes, the basic idea is that the sum of K correlation coefficients for each class is used as a criterion to discriminate these two kinds of events, and to magnify the difference of this criterion to identify these two events with higher probability, a method of nonlinear weighting is used. Besides, the comparison with the maximum correlation classification and k-nearest neighbor classification is expatiated. Theoretical analysis and practical identification results indicate this method is feasible.
分 类 号:O235[理学—运筹学与控制论] TL91[理学—数学]
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