计算机工程与应用2017，Vol.53Issue(2)：118-123,6.DOI:10.3778/j.issn.1002-8331.1504-0121
加权决策模板业务感知算法
Weighted decision template service awareness algorithm
摘要
Abstract
Aiming at the limitation of recognition accuracy that the decision template method used on service awareness, it puts forward the weighted decision template method. This method firstly uses supervised fuzzy clustering neural networks classifier as the basic classifier, and then through the confusion matrix measures classifier samples for different categories of confidence, after two stage performance trade-offs, gives higher credibility of the algorithm. In the stage of training, it constructs an additional weighted decision template according to the error classification of the samples, if in the testing phase, there are the shortest distance from samples to template, it thinks the sample in a high probability of error classification, so that the algorithm has high recognition accuracy. Experimental results show that, compared with that decision template method, the weighted decision template method has higher accuracy on service awareness.关键词
决策模板法/模糊聚类/业务感知/分类器Key words
decision template method/fuzzy clustering/service awareness/classifier分类
信息技术与安全科学引用本文复制引用
杨应雷,周金和,王川潮..加权决策模板业务感知算法[J].计算机工程与应用,2017,53(2):118-123,6.基金项目
国家自然科学基金（No.61271198）；北京市自然科学基金（No.4131003）；北京市教委科技计划重点项目（No.KZ201511232036）。 （）
