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| 免疫分类研究进展 | |
| 引用本文： | 邓泽林,谭冠政,范必双,傅明.免疫分类研究进展[J].计算机工程与应用,2011,47(16):8-11. |
| 作者姓名： | 邓泽林 谭冠政 范必双 傅明 |
| 作者单位： | 1. 中南大学,信息科学与工程学院,长沙,410083;长沙理工大学计算机与通信工程学院,长沙,410076 2. 中南大学,信息科学与工程学院,长沙,410083 3. 长沙理工大学计算机与通信工程学院,长沙,410076 |
| 基金项目： | 国家自然科学基金，湖南省科技计划项目 |
| 摘 要： | 过去的十多年中,人工免疫系统得到了长足的发展。由于其具备强大的信息处理能力,被广泛应用于模式识别领域,尤其是分类问题。介绍了免疫系统的识别原理、人工免疫原理,包括克隆选择原理、负向选择原理和免疫网络,综述了近年来出现的主要的免疫分类算法,对免疫分类算法性能进行了相互比较,比较了免疫分类算法与其他著名分类算法的性能,结果显示免疫分类算法具有良好的分类性能。 |
| 关 键 词： | 人工免疫系统 算法 理论 分类 综述 |
| 修稿时间： | |
Research progress on immune classification |
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| DENG Zelin,TAN Cuanzheng,FAN Bishuang,FU Ming.Research progress on immune classification[J].Computer Engineering and Applications,2011,47(16):8-11. | |
| Authors: | DENG Zelin TAN Cuanzheng FAN Bishuang FU Ming |
| Affiliation: | 1.School of Information Science and Engineering,Central South University,Changsha 410083,China 2.School of Computer and Communication Engineering,Changsha University of Science and Technology,Changsha 410076,China |
| Abstract: | In the last decade,artificial immune system has developed greatly.It has wide range application areas to apply in pattern recognition due to its powerful information process capability,especially in classification problems.It introduces the natural immune system recognition principals and artificial immune principals,including clonal selection principal,negative selection principal and immune networks,surveys immune classification algorithms emerged recently.It compares the performances of immune classifiers,and compares the classification performances of immune classifiers with other famous classifiers.The results show that immune classifiers have high classification performances. |
| Keywords: | artificial immune system algorithm theorem classification survey |
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