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《Journal of East China Institute of Technology》 2006-01
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Data of Surface Geophysical Exploration for Sandstone-Type Uranium Deposit Analyzed by Fuzzy Cluster Method

ZHANG Zhi-yong, LI Bi-hong, LIU Qing-cheng, DENG Ju-zhi(Faculty of Nuclear Engineering and Technology,East China Institute of Technology,Fuzhou,JX 344000,China)  
In this paper,a fuzzy clustering analyzed method was introduced.Data expectation,standard deviation,the space between the especially apices,the distance of especially poles and the width of the half especially poles of section data define as factor of this method.The section data use IGA parameter.The method is able to distinguish between the difference deposit models.In same district,it is said that the sections with analogy depth and range are most analogy.The sections containing deposits have more analogy.The sections containing deposits and not containing deposits have more difference.The sections without ore body have more difference.If the class has a section which was explored before,we can generalize the character of this section to others.If all section of the class were unknown,we can use the classed information to introduce the next works.
【CateGory Index】: P631.6;P619.14
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