免疫网络理论在人工智能中起着十分重要的作用。
Immune networks theory plays an important role in artificial intelligence.
模拟抗体搜索机制，结合免疫网络理论，提出一种新的优化算法。
By simulating the antibody search mechanism, and combining the immune network theory, a new immune learning algorithm for multi-modal function optimization was presented.
提出一种基于生物免疫系统克隆选择机理和免疫网络理论的免疫算法。
The paper proposed an immune algorithm based on the mechanism exhibited in biological immune clone selection and the immune network theory.
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