Document Classification with Multi-layered Immune Principle

Abstract

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.