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床板珊瑚形珊瑚自动鉴定方法
引用本文:张松林,严幼因.床板珊瑚形珊瑚自动鉴定方法[J].古生物学报,1995,34(1):119-127.
作者姓名:张松林  严幼因
作者单位:地质矿产部南京地质矿产研究所
基金项目:地质行业科学技术发展基金
摘    要:根据床板珊瑚形珊瑚的系统分类特点,自动鉴定程序从高级分类单位开始,逐步向较低级别进行,直至将标本鉴定到种。在仔细分析研究属以上级别分类单位鉴定特征性质的基础上,首次提出了归属度的概念,通过归属度计算判定被鉴定标本的归属;在对每一属的各个种进行数值分类的基础上,利用相似性系数对被鉴定标本进行统计识别,将标本鉴定到种。

关 键 词:珊瑚  床板珊瑚形珊瑚  鉴定  归属度  相似性系数  tabulatomorphic  corals  automatic  identification  degree  of  membership  similarity  coefficient

AN APPROACH TO AUTOMATIC IDENTIFICATION OF TABULATOMORPHIC CORALS
Zhang Song-lin and Yan You-yin.AN APPROACH TO AUTOMATIC IDENTIFICATION OF TABULATOMORPHIC CORALS[J].Acta Palaeontologica Sinica,1995,34(1):119-127.
Authors:Zhang Song-lin and Yan You-yin
Abstract:The automatic identification of tabulatomorphic corals is realized by the following steps. First of all,hundreds of retrieval tables of the fossil-identification features of each taxonomic unit from the genus above are created,on the basis of the currently published 3 superorders, 10 orders, 15 suborders, 85 families, 15 subfamilies, and 476 genera of the subclass Tabulatomorpha in the world and 2 225 species found in China. Secondly,after the coding of the identification features,these tables are stored under a tree structure database system by applying dBASE-- N, with each table corresponding to a database. Finally, according to the systematic taxonomy of tabulatomorphic corals,the automatic identification of an unknown specimen is progressively proceeded from a higher taxonomic unit to a lower unit until species. If the unit is from the genus above,the degree of membership is determined after the weighing of the features,with the highest degree indicating the belongingness of the unknown specimen to a specific unit. On the other hand,in case the unit is the species,a similarity coefficient is used to measure the similarity of an unknown specimen to each species of a specific genus based on the numerical taxonomy of the already known specimens of the genus,which redefines the species of the genus through scaling the features, weighing the features, determining the similarity coefficient between every two of the known specimens,and cluster analysis of all the known specimens. The best coefficient shows the species decision of the unknown specimen. An identification example is given in this paper,with very satisfying result.
Keywords:tabulatomorphic corals  automatic identification  degree of membership  similarity coefficient
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