By employing an artificial immune clustering algorithm, the elevator traffic flow in a certain building during one week was analyzed.
采用人工免疫聚类算法对某大楼一周内的电梯交通流进行了分析。
In this paper, an immune clustering algorithm is presented, which includes antibody production, antigen recognition, and antibody optimization.
提出了一种免疫聚类算法，该算法主要包括抗体产生、抗原识别和抗体优化等过程。
This paper proposed an algorithm based on immune evolution, the algorithm reflect the changing of the environment and satisfied the need of the fuzzy clustering.
本文提出了一只基于免疫进化的模糊更新算法，算法能够较好的体现环境的变化，使得更新后的模糊集更有利于模糊聚类的需要。
We design and implement the artificial immune network algorithm, and successfully apply this algorithm in solving a pattern recognition problem and a data clustering problem.
在此基础上，设计和实现了人工免疫网络算法，并应用该算法成功解决了一个模式识别和数据聚类问题。
We design and implement the artificial immune network algorithm, and successfully apply this algorithm in solving a pattern recognition problem and a data clustering problem.
在此基础上，设计和实现了人工免疫网络算法，并应用该算法成功解决了一个模式识别和数据聚类问题。
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