An Engineering Immune Network Model for Pattern Recognition

The biological immune system consists of a multitude of cells and molecules that interact in a variety of ways to detect and eliminate infectious agents. It has several useful mechanisms from the viewpoint of information processing. Our overall goal for this paper is twofold: to understand the real immune system from the information processing perspective, and to use idea generated from the immune system to construct new engineering application. As one example of the latter, we propose an engineering immune network model and apply it to pattern recognition. We test the proposed model by the simulations of alphabet patter recognition. The simulation results illustrate that the proposed model is capable of clustering similar input pattern into stable categories. (author abst.