Information Filtering Based on Immune Mechanism

Natural Immune System is a highly complicated, distributed, and auto-adaptive system. It has very strong ability of self-learning, memory and association, and then it can quickly eliminate the intruders and keep itself stability. Information filtering is to choose useful information with filtering strategies from information. So, the original information is going to be as antigen, and the filtering strategies and procedure be as antibody, based on the immune self-learning mechanism, we design a model of information filtering. Then, we illustrate and discuss the model perforrnance by experimental evaluation results.