Abstract
Recently, biological superior information processing ability has been researched to be able to be useful for a computer system. Especially, neural networks about brain and nervous system have been researched. Immunity network models based on biological immune response network also have been researched, but most of the researchers consider only a basic part of the interaction between B cells and T cells. The recent research has been reported a thing that the function of T cell receptor (TCR) is important in practical immune response network. Therefore, we propose a new immunity network model which, unlike the traditional immunity networks, has the same function that a T cell receptor has. We applied the proposed immunity network model and the traditional immunity network model to the pattern recognition system. And we compare performance of the proposed immunity network model with the traditional immunity network model, therefore showed usability of the proposed immunity network model.
