Implementation Of AIS In Pattern Recognition

At this point, the most applicable immune principles and their consequent computational counterparts to perform pattern recognition have been represented. In order to apply these algorithms to computational problems, there is a requirement to identify a limited number of other aspects of artificial immune systems or IS, not as now covered. The first aspect to initiate is the most applicable representations to be applied to model self and non-self patterns. Now, self-patterns correspond to the components of the Artificial immune systems responsible for recognizing the input patterns (non-self). Secondly, the mechanism by that the evaluation of the degree of match as affinity or degree of recognition, of an input pattern via an element of the artificial immune systems or IS has to be discussed. To model immune antigenic patterns, molecules, and the cells, the shape-space approach is frequently adopted. Even if artificial immune systems model recognition via pattern matching, describe certain affinity functions to be explained further, performing pattern recognition via similarity