The research on information filtering model based on immune self-learning mechanism

We designed a kind of new information filtering model based on biological immune system. In this model, the original information is as antigen, and the strategy of filtering and procedure is as antibody. Antibody could learn and evolve continuously. The model has abilities of learning, storage and evolution, and it could learn and synergy automatically, adjust services, to complete complicated tasks with high efficiency. At last, the simulation experiment proved that the model has high efficiency and accuracy.