【摘要】 智能化信息检索是网络时代最重要的应用之一。现有的机器学习理论与方法难以适应网络环境下数据的动态性和用户兴趣的多样性,成为智能化信息检索研究中的一个薄弱环节。本文通过学习和借鉴自然免疫系统的特征和原理,利用Swarm软件平台,设计和实现了一个人工免疫网络算法。该算法建立在对自然免疫系统的现有理解之上,具备自然免疫系统的主要特征,并被成功的应用于解决一个简单的模式识别问题。最后展望了将人工免疫系统这一新的机器学习机制应用到智能化信息检索系统中的前景。更多还原

【Abstract】 Inte;igent information retrieva;is one of the most important app;ications in the times of internet.The existing theories and methods of machine ;earning is difficu;t to adapt the network environment,and becomes a weakness of the inte;igent information retrieva;system.In this paper we design and construct an artificia;immune network a;gorithm which is based upon the software p;at-form of Swarm.This a;gorithm is an examp;e of a system deve;oped around the current understanding of the immune system and it i;ustrates how an artificia;immune system can capture the basic e;ements of the immune system and exhibit some of its chief characteristics.We successfu;y app;y it on a simp;e pattern recognition prob;em and exhibit the potentia;of the artificia;immune system on the inte;igent information retrieva;system.更多还原