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机译:支持向量机在金融危机预测中的特征选择:以中国为例
College of Business and Management, Jiangsu University, 212013 Zhenjiang, China Glorious Sun School of Business and Management, Donghua University, 200051 Shanghai, China;
rnGlorious Sun School of Business and Management, Donghua University, 200051 Shanghai, China College of Information Sciences and Technology, Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education, Donghua University, 201620 Shanghai, China;
rnInformation Network Center, Guangxi University, 530004 Nanning, China;
rnCollege of Information Sciences, Shanghai Marine University, 200090 Shanghai, China;
financial crisis forecasting; support vector machine; feature selection; genetic algorithm; wrapper approach; filter approach;
机译:通过使用基于GA的真实支持向量机进行业务危机诊断的特征选择:一项实证研究
机译:金融预警系统研究中支持向量机的特征选择
机译:集成随机样本选择,支持向量机和用于财务风险预测的信封,并进行特征选择必要性的实证分析
机译:基于违约距离和特征加权支持向量机的金融危机预测
机译:支持向量回归的特征选择,火炬大小和火炬发射时间预测,以及基于时空测度的隐马尔可夫模型自动预测火炬行为
机译:在支持向量机应用之前通过数据平衡和特征选择来增强不平衡常规病理数据中肝炎病毒免疫测定结果的预测
机译:在最近的金融危机中使用支持向量机进行破产预测和特征选择