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Research Article
Biomedical classification application and parameters optimization of mixed kernel SVM based on the information entropy particle swarm optimization
Mi LiDepartment of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China; ;Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; ;Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China;
, Xiaofeng LuDepartment of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China; ;Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; ;Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China;
, Xiaodong WangDepartment of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China; ;Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; ;Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China;
, Shengfu LuDepartment of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China; ;Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; ;Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China; Correspondence[email protected]
& Ning ZhongDepartment of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China; ;Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; ;Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China; ;Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, JapanCorrespondence[email protected]
Pages 132-141
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Published online: 25 Oct 2016
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