inspired by the threshold-based segmentation methods, a novel algorithm based on immune clone selection and optimal entropy theory is presented in this paper.
该文基于阈值分割方法,将免疫克隆选择优化算法应用到图像分割中,提出了一种新的图像分割算法。
the paper proposed an immune algorithm based on the mechanism exhibited in biological immune clone selection and the immune network theory.
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 primary idea of this method is introducing the immune clone selection theory into the mining process.
其基本思路是将免疫克隆选择的概念引入挖掘过程当中。
artificial immune clone selection algorithm is a novel algorithm which was inspired by the biological immune system. and it has become a new member of the family of intelligent algorithms.
人工免疫克隆选择算法是受生物免疫系统启示而设计的新型算法,它已经成为智能计算大家庭的新成员。
the main research work in this paper focuses on the following aspects:firstly, the artificial immune clone selection algorithm is introduced.
本文的主要研究工作包括以下几个方面:首先,介绍了人工免疫克隆选择算法。