基于新算法的元基因组属性约简研究

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI:10.1109/ICMIC.2018.8529969

Jian Xue, Fu Liu, Jing Bai, Tao Hou

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引用次数: 0

摘要

针对元基因组提取的DNA序列大多是未知的，存在多维特征向量的问题。提出了一种粗糙集和BreedPSO方法来降低微生物菌株的特征。结果表明，在降低矢量维数的同时。，可以保持甚至提高物种的分类精度。，有效提取优良的物种标签。，节省分类时间。，提高分类效率。

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Research on Meta Genomic Attribute Reduction Based on on a New Algorithm

Aiming at the problem that most of the DNA sequences extracted by meta genomics are unknown and exist multidimensional eigenvectors., this paper proposes a rough set and BreedPSO method to reduce the characteristics of microbial strains. It is found that while reducing the vector dimension., Can maintain or even improve the classification accuracy of species., effectively extract the fine species tags., save classification time., improve classification efficiency.

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2018 10th International Conference on Modelling, Identification and Control (ICMIC)

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