A novel supervised classifier for remote sensing data by employing clonal selection algorithm(CSA)is presented for solving the problems,e. g. local optimum and robustness,in remote sensing imagery classification.
针对遥感影像分类中的局部极值、鲁棒性等问题,提出基于克隆选择算法的遥感影像监督分类方法。
参考来源 - 克隆选择算法在遥感影像分类中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
And then the clonal selection algorithm using this clonal operator is discussed.
并对应用此算子的克隆选择算法进行了讨论。
A new feature selection algorithm based on Immune Clonal selection algorithm (ICSA) is proposed.
提出了一种基于免疫克隆选择算法的特征选择方法。
This paper proposes a new method to find fuzzy rules using an improved clonal selection algorithm.
提出了利用改进的克隆选择算法发现模糊规则的方法。
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