基于人工免疫系统的网络文本分类研究

Research of Web Text Classification Based on Artificial Immune System

在简单介绍自然免疫系统功能和特性的基础上,依据生物免疫系统免疫记忆特性,提出一种人工免疫网络记忆分类器。实验证明,该分类器能够快速准确地对文本进行分类。

Some important function and character of narure immune stytem are concisely introduced firstly, and then a new web text classification on artificial immune network memory is presented, which is based on the principle of immune memory. The result of test show that the classifier can class Web text fastly and accuracy.