【摘要】 为提高姓名识别的准确性并加快识别的速度,受生物免疫系统自学习、免疫记忆等特征启发,基于人工免疫原理,提出了一种新的中文姓名识别模型。给出了自体/非自体、抗体/抗原的定义,建立了免疫学习、免疫识别和免疫记忆机制。对模型进行了仿真,并完成了验证实验。实验结果表明该方法较传统的基于统计、基于语料库和结合决策树的姓名识别方法更有效,为文本挖掘提供了一种较好的解决方案。更多还原

【Abstract】 In order to improve the precision and increase the speed of Chinese personal name recognition,a new model based on artificial immune system for Chinese personal name recognition was proposed.The concepts of "self","non-self","antibody" and "antigen" were defined.The mechanisms of immune learning,immune recognition and immune memory were built.The correlative algorithm was presented. The results showed that the novel method is more effective in some aspects than the traditional ones based on statistics, corpus,and decision tree.Thus,it provides a good solution to the field of text mining.更多还原