摘要
人工免疫中的self—nonself识别模型存在识别局限性。危险理论以危险作为识别对象,可有效避免self—nonself识别中难以解决的问题。云模型是一种定性与定量之间相互转换的有效工具,本文从危险是变化产生的这一角度,借鉴云模型的概念判定危险信号的发生,提出了基于危险理论的人工免疫模型,利用"危险"和nonself的识别共同激发免疫响应。
Self--nonself recognition model has the inherent weakness. In danger theory, sanger is the aim for recognition, so the problems in self--nonself recognition can be successfully avoided. C loud model is an effective tool in transforming between qualitative concepts and their quantitative expressions. This paper uses the concept or cloud model to estimate systematic parameters and consequently presents the definition of danger signal. Stimulate model including both self-nonself recognition method and danger recognition method is presented.
出处
《电脑与电信》
2012年第3期28-31,共4页
Computer & Telecommunication
基金
2010年北省教育厅科研项目
项目编号:B20102703
孝感学院2010年度科研立项
项目编号:Z2010029
关键词
人工免疫系统
危险理论
云模型
危险信号
artificial immune system
danger theory
cloud model
danger signal
