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模糊支撑向量回归

Fuzzy Support Vector Regression
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摘要 利用支撑向量回归几何方法实施的直接性和几何意义,在支撑向量回归几何方法中考虑了数据的置信度,建立了模糊支撑向量回归模型.数值分析表明,所提出的模糊支撑向量回归模型可根据数据置信度的大小有效地控制各训练数据在回归中的作用. Applying the geometric approach to support vector regression(SVR) has constructed a model of fuzzy support vector regression(FSVR) based on the data with confidence. The numerical analys is indicates that the model could effectively control the influence of each data on the learning machine according to the confidence. At last the numerical analysis is presented.
出处 《河南师范大学学报(自然科学版)》 CAS CSCD 北大核心 2008年第4期161-163,共3页 Journal of Henan Normal University(Natural Science Edition)
关键词 支撑向量回归 约简凸闭包 置信度 support vector regression reduced convex hull confidence
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