MULTI SUPPORT VECTOR MACHINES DECISION MODEL AND ITS APPLICATION

• 作 者: 阎威武 陈治纲 邵惠鹤
• 机 构: Dept. of Automation, Shanghai Jiaotong Univ., Shanghai 200030, China
• 出 处: 上海交通大学学报(英文版)
• 发表日期: 2002年2期
• 关键词: support vector machine decision

Support Vector Machines (SVM) is a powerful machine leing method developed from statistical leing theory and is currently an active field in artificial intelligent technology. SVM is sensitive to noise vectors near hyperplane since it is determined only by few support vectors. In this paper, Multi SVM decision model(MSDM)was proposed. MSDM consists of multiple SVMs and makes decision by synthetic information based on multi SVMs. MSDM is applied to heart disease diagnoses based on UCI benchmark data set. MSDM somewhat inproves the robust of decision system.