文献类型：会议论文

英文题名：Document Classification with Multi-layered Immune Principle

作者：Liang, Chunlin[1];Hong, Yindie[1];Chen, Yuefeng[1];Peng, Lingxi[2]

机构：[1]Guangdong Ocean Univ, Software Sch, Zhanjiang 524025, Peoples R China;[2]Guangzhou Univ, Sch Comp Sci, Guangzhou 510006, Guangdong, Peoples R China

会议论文集：1st International Conference on Swarm Intelligence

会议日期：JUN 12-15, 2010

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：document classification; immune; artificial intelligence

外文摘要：Automatic document classification is helpful in both organizing and finding information on huge resources A novel multi-layered immune based document classification algorithm is presented First. we represent the definition of the immune cells, antibody. antigen, and discuss the architecture of multi-layered immune system Second. we evolve the dynamic models of immune response. immune regulation and immune memory, and establish the corresponding equations Finally, we implement the simulation experiments. and compare the results with those obtained using the best methods for this application Experiments show that the algorithm has higher classification accuracy than other document classification methods, and the attractive features such as diversity, self-learning. adaptive and robust etc It provides a novel solution for document classification