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机译:学习分类法PROAFTN的差分进化
Department of Computer Science, University of New Brunswick, Saint John, NB, Canada;
Department of Computer Science, University of New Brunswick, Saint John, NB, Canada Institute for Information Technology, National Research Council, Moncton, NB, Canada;
Department of Mechanical Engineering, University of New Brunswick, Fredericton, NB, Canada;
Department of Computer Science, University of New Brunswick, Saint John, NB, Canada;
knowledge discovery; differential evolution; multiple criteria classification; PROAFTN; supervised learning;
机译:从数据中学习多准则模糊分类方法PROAFTN
机译:多准则ABC库存分类的新模型:PROAFTN方法
机译:基于粒子群算法的PROAFTN分类进化框架
机译:学习分类方法PROAFTN的离散化技术和遗传算法
机译:项目参数漂移是学习机会差异的指示:项目标记方法的探索和应试者的准确分类。
机译:使用自适应差分进化极限学习机和粗糙集特征选择对超声图像中的乳腺肿块进行分类
机译:组合机械学习与沟相学算法对分类方法Proaftn