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基于自适应合成数据和集体学习的医疗应用的混合多标签分类模型

M Priyadharshini1, A Faritha Banu2, Bhisham Sharma3

  • 1Department of Computer Science Engineering, Nalla Malla Reddy Engineering College, Hyderabad 500088, Telangana, India.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

本研究引入了基于合成数据的适应性多标签分类 (ASDMLC),以改善机器学习中的不平衡数据集. 通过智能生成合成数据和优化特征选择,ASDMLC提高了多标签分类的准确性.

关键词:
适应性神经模糊推理系统适应性的合成数据.不平衡的数据不平衡的数据.改进了粒子小群优化,改善了粒子小群优化.多个类别的分类分类.一个概率神经网络.

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