计算机应用与软件Issue(10)：147-150,4.DOI:10.3969/j.issn.1000-386x.2013.10.041
一种改进的树突状细胞算法及其性能稳定性实验
A MODIFIED DENDRITIC CELL ALGORITHM AND ITS PERFORMANCE STABILITY TEST
摘要
Abstract
Aiming at the problems of original Dendritic Cell Algorithm (DCA)that it has misclassifications when the context changes,and its error rate is proportional to the times of state changes,we improve it based on the original algorithm by the strategies such as setting dynamic threshold,adding the evaluation factor of subsequent antigen on current sampling antigen and the inflammation signal with the function of amplifying the effects of other signals,etc.Then we apply the modified algorithm to the standard dataset Breast Cancer. Experimental result shows that compared with original DCA,this algorithm has amelioration in both stability and recognition rate.关键词
树突细胞算法/动态阈值/评价因子/稳定性Key words
DCA/Dynamic threshold/Evaluation factor/Stability分类
信息技术与安全科学引用本文复制引用
张伟,田玉玲..一种改进的树突状细胞算法及其性能稳定性实验[J].计算机应用与软件,2013,(10):147-150,4.基金项目
山西省科技攻关项目(2008032208). （2008032208）
