Based on the property that antigen and antibody are evolving simultaneously in immunology, an improved immune algorithm is presented through analysis of moving object forecast system.
根据免疫学研究中抗原与抗体同时进化的特性，通过对动目标预测系统特点的分析，提出一种改进的免疫算法。
A evolving learning model of data mode based on artificial immune theory and algorithm is proposed. A method for making certain the quantity of antibody population or detectors in reason is presented.
提出了一种基于人工免疫的数据模式进化学习模型及其相应的算法，给出了抗体(检测器)群体合理数量的确定方法。
A evolving learning model of data mode based on artificial immune theory and algorithm is proposed. A method for making certain the quantity of antibody population or detectors in reason is presented.
提出了一种基于人工免疫的数据模式进化学习模型及其相应的算法，给出了抗体(检测器)群体合理数量的确定方法。
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