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使用由单个候选优化器优化的构成性人工神经网络进行Omics数据分类

Subramaniam Madhan1, Anbarasan Kalaiselvan2

  • 1Department of Computer Science and Engineering, University College of Engineering, Thirukkuvalai (A Constituent College of Anna University Chennai), Nagapattinam, Tamilnadu, India.

Network (Bristol, England)
|May 13, 2024
PubMed
概括

一种新的omics数据分类方法,ODC-ZOA-CANN-SCO,通过利用自适应变量贝叶斯选,斑马优化算法,构成型人工神经网络和单一候选优化器来提高生物数据分析的准确性.

关键词:
构成的人工神经网络斑马优化算法 斑马优化算法奥米克斯数据数据的数据.单个候选优化器的优化器

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