A New Artificial Immune Network Model based on Repertoire Completeness Assumption
نویسندگان
چکیده
This paper presents a new model of an artificial immune network which is strongly based on the repertoire completeness assumption. The model is different from previous approaches in that it eliminates the genetic search achieved by most of the current immune network models. Instead on focusing on developing new B cells which better fit the data, the new model focuses on regulating the size of each clone according to its interaction with antigen and other clones. Additionally, a log-bell shaped activation function is used, in order to control clone size in the presence of
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تاریخ انتشار 2006