计算机科学 ›› 2016, Vol. 43 ›› Issue (1): 64-68.doi: 10.11896/j.issn.1002-137X.2016.01.015
• CRSSC-CWI-CGrC2015 • 上一篇 下一篇
陈丽芳,陈亮,刘保相
CHEN Li-fang, CHEN Liang and LIU Bao-xiang
摘要： 针对多分类问题,将粒计算与最优二叉树相结合来构建SVM多分类模型。应用粒计算思想粒化多分类问题,计算出每个类别的粒度；以粒度为权值集合,构建哈夫曼树,以解决类内样本分布不均和分类效率低下的问题；对粗粒结点分别设计多个SVM分类器；最后,以低温存储罐材料多分类问题为研究背景,对模型进行了仿真验证。与其他方法的对比分析表明,该模型提高了分类效率,为多分类问题的处理提供了一个新的研究思路。
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