Selective Immunity-Based Model Considering Filtering Information by Automatic Generated Positive/Negative Cells

摘要

Biological system has a very efficient immunity system which selects important signals and protects its body. The functions of immunity system can be successfully adopted to design an intelligent system in the information society. Accordingly in this paper Immunity based system which can select the important data from a large amount data is proposed . we define filtering factor as a criterion for reacting and selecting the data. This system is designed to have learning, perception & inference and Data extraction and to have an additive learning mechanism for the new obtained important information. This system is applied to the area for the analysis of customer’s tastes and its performance is analyzed and compared.