Recognition Algorithm Based on Biological Immune Principle
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摘要: 提出了一種人工免疫識別算法.該算法將所識別的數據作為抗原,利用抗體、抗原的親和作用,通過刺激/抑制有關抗體的活動建立一個抗體記憶集合,識別和表示數據結構組織,它具有識別多樣性、自我調節功能等特點.通過對二維實數空間的數據和Iris數據進行實驗,結果表明該方法聚類效果好,識別率高,且具有較好的泛化能力.Abstract: An artificial immune recognition algorithm is proposed. Inspired by the metaphor of the interaction of antibodies with antigens, it processes the data as antigens, and then gets an antibody memory matrix by inspiring or restraining the activity of antibodies. The ability of data recognition and data structure description can be achieved by the memory matrix. The algorithm has the characteristics of recognition variety and self-adjustment. The experiment results demonstrate that the algorithm has good clustering effect and high recognition rate on R2 space data and iris data.
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Key words:
- immune recognition /
- interaction of binding /
- memory antibodies /
- recognition rate
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