Based on the algorithm for clonal selection theory of artificial immune algorithm.
该算法为基于克隆选择原理的人工免疫算法。
Then simulating the antigen identify of organism, immune response and other actual immune behavior, a new artificial immune algorithm is put forward.
在此基础上，模拟生物体的抗原识别、免疫应答等实际免疫行为，提出一种新的人工免疫算法。
The application of artificial immune algorithm to process data analysis can effectively extract useful data in-formation. The algorithm structure is very simple together with fast speed.
将人工免疫算法应用于过程数据的分类处理，能有效地提取数据的有用信息，而且算法简单，处理迅速。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a hybrid algorithm combining C-means algorithm and artificial immune algorithm is presented.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种人工免疫c -均值混合聚类算法。
To address the optimization problem, a modified artificial immune algorithm was developed.
针对这一优化问题，设计了一种人工免疫算法。
To address the optimization problem, a modified artificial immune algorithm was developed.
针对这一优化问题，设计了一种人工免疫算法。
应用推荐