IPez: An expert system for the taxonomic identification of fishes based on machine learning techniques
IPez: An expert system for the taxonomic identification of fishes based on machine learning techniques
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DOI：
10.1016/j.fishres.2009.12.003
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发表时间：
2010-03-01
影响因子：
2.4
通讯作者：
Salmeron, F.
中科院分区：
文献类型：
--
作者：
Guisande, C.;Manjarres-Hernandez, A.;Salmeron, F.
鱼类的分类鉴定对非专家来说是一个耗时的过程，因此更容易出错。对6纲43目192科510属847种海洋和淡水植物的8900多个个体进行了形态测量。其目的是确定是否有可能使用这些测量的幼鱼和成鱼的分类鉴定。我们开发了专家系统IPez，这是基于机器学习技术，并发现，当个体的数量测量的一个物种，因此，包括在数据库中的IPez，是高于约15个人，IPez正确识别100%的新的个人，该物种不包括在数据库中。此外，除了有助于鱼类的分类鉴定外，该软件还可以确定促进或正在促进密切相关物种之间分歧的主要形态特征。该软件是免费的，可在网页http://www.ipez.es/index%20ingles.html上获得。我们建议加强国际合作，将更多物种引入IPez。(C)2009爱思唯尔有限公司版权所有。
The taxonomic identification of fishes is a time-consuming process for those who are not specialists and, therefore, are more liable to make mistakes. We measured morphometric characters in more than 8900 individuals belonging to 6 classes, 43 orders, 192 families, 510 genera and 847 marine and freshwater species. The aim was to determine if the taxonomic identification of juvenile and adult fishes is possible using these measurements. We developed the expert system IPez, which is based on machine learning techniques, and found that, when the number of individuals measured of a species and, hence, included in the database of IPez, is higher than approximately 15 individuals, IPez identifies correctly 100% of new individuals of this species that are not included into the database. Moreover, besides helping in the taxonomic identification of fish, this software allows the determining of the main morphometric characters that have promoted or are promoting divergence among closely related species. The software is free and available at the web page http://www.ipez.es/index%20ingles.html. We suggest increased international collaboration to introduce more species into IPez. (C) 2009 Elsevier B.V. All rights reserved.