An affinity based complex artificial immune system

This paper proposes an affinity based complex artificial immune system considering the fact that the different eptitopes located on the surface of antigen can be recognized by a set of different paratopes expressed on the surface of immune cells. A neighborhood set consisting of immune cells with different affinities to a certain input antigen is built to simulate the nature immune behavior. Furthermore, the complex numbers are adopted as the data representation, besides the weight between different layers. In the simulations, the recognition on transformation patterns is performed to illustrate that the proposed system is capable of recognizing the transformation patterns and it has obviously higher noise tolerance ability than the previous system models.