工程科学学报 Chinese Journal of Engineering 基于多目标支持向量机的ADHD分类 杜海鹏邵立珍张冬辉 ADHD classification based on a multi-objective support vector machine DU Hai-peng.SHAO Li-zhen,ZHANG Dong-hui 引用本文： 杜海鹏，邵立珍，张冬辉.基于多目标支持向量机的ADHD分类J].工程科学学报，2020,42(4)：441-447.doi: 10.13374j.issn2095-9389.2019.09.12.007 DU Hai-peng.SHAO Li-zhen,ZHANG Dong-hui.ADHD classification based on a multi-objective support vector machine[J]. Chinese Journal of Engineering,.2020,42(4:441-447.doi:10.13374j.issn2095-9389.2019.09.12.007 在线阅读View online::https://doi..org10.13374/.issn2095-9389.2019.09.12.007 您可能感兴趣的其他文章 Articles you may be interested in 基于改进的支持向量回归机算法的磁记忆定量化缺陷反演 Metal magnetic memory quantitative inversion of defects based onoptimized support vector machine regression 工程科学学报.2018.40(9%：1123 https:/doi.org10.13374.issn2095-9389.2018.09.014 固溶时效工艺对6016铝合金力学性能的影响及多目标优化 Effect of solution and aging processes on the mechanical properties of 6016 aluminum alloy and multi-objective optimization 工程科学学报.2017,391)：75htps/1doi.org/10.13374.issn2095-9389.2017.01.010 基于全局优化支持向量机的多类别高炉故障诊断 Multi-class fault diagnosis of BF based on global optimization LS-SVM 工程科学学报.2017,391)：39 https:/1doi.org/10.13374j.issn2095-9389.2017.01.005 无数学模型的非线性约束单目标系统优化方法改进 Optimization method improvement for nonlinear constrained single objective system without mathematical models 工程科学学报.2018,40(11：1402htps:oi.org10.13374.issn2095-9389.2018.11.014 多目标多约束混合流水车间插单重调度问题研究 Research on rush order insertion rescheduling problem under hybrid flow shop with multi-objective and multi-constraint 工程科学学报.2019.41(11：1450 https::/doi.org10.13374.issn2095-9389.2018.11.27.002基于多目标支持向量机的ADHD分类 杜海鹏 邵立珍 张冬辉 ADHD classification based on a multi-objective support vector machine DU Hai-peng, SHAO Li-zhen, ZHANG Dong-hui 引用本文: 杜海鹏, 邵立珍, 张冬辉. 基于多目标支持向量机的ADHD分类[J]. 工程科学学报, 2020, 42(4): 441-447. doi: 10.13374/j.issn2095-9389.2019.09.12.007 DU Hai-peng, SHAO Li-zhen, ZHANG Dong-hui. ADHD classification based on a multi-objective support vector machine[J]. Chinese Journal of Engineering, 2020, 42(4): 441-447. doi: 10.13374/j.issn2095-9389.2019.09.12.007 在线阅读 View online: https://doi.org/10.13374/j.issn2095-9389.2019.09.12.007 您可能感兴趣的其他文章 Articles you may be interested in 基于改进的支持向量回归机算法的磁记忆定量化缺陷反演 Metal magnetic memory quantitative inversion of defects based onoptimized support vector machine regression 工程科学学报. 2018, 40(9): 1123 https://doi.org/10.13374/j.issn2095-9389.2018.09.014 固溶时效工艺对6016铝合金力学性能的影响及多目标优化 Effect of solution and aging processes on the mechanical properties of 6016 aluminum alloy and multi-objective optimization 工程科学学报. 2017, 39(1): 75 https://doi.org/10.13374/j.issn2095-9389.2017.01.010 基于全局优化支持向量机的多类别高炉故障诊断 Multi-class fault diagnosis of BF based on global optimization LS-SVM 工程科学学报. 2017, 39(1): 39 https://doi.org/10.13374/j.issn2095-9389.2017.01.005 无数学模型的非线性约束单目标系统优化方法改进 Optimization method improvement for nonlinear constrained single objective system without mathematical models 工程科学学报. 2018, 40(11): 1402 https://doi.org/10.13374/j.issn2095-9389.2018.11.014 多目标多约束混合流水车间插单重调度问题研究 Research on rush order insertion rescheduling problem under hybrid flow shop with multi-objective and multi-constraint 工程科学学报. 2019, 41(11): 1450 https://doi.org/10.13374/j.issn2095-9389.2018.11.27.002