昆明铺面出租信息:谁能帮我找一些关于马尔可夫模型的资料啊？

摘 要：根据隐马尔可夫模型HMM的基本理论和算法设计了一个情感模型.该模型用E-HMM构成:子层(即低层)HMM由3个HMM组成,分别对应3种心理情绪状态.外部刺激经过子层初步识别,其输出组成高级层HMM的观察向量,经过高层HMM,确定情感输出,从而提高了模型的准确性.
关键词：隐马尔可夫模型;情感计算;情感模型
分类号：TP391.9 文献标识码：A
文章编号：1002-3186(2005)01-0061-04

作者简介：王玉洁,女,教授,主研方向为人工智能及机器人技术
作者单位：王玉洁（北京农学院基础科学系,北京,102206;北京科技大学信息工程学院,北京,100083）
王志良（北京科技大学信息工程学院,北京,100083）
陈锋军（北京科技大学信息工程学院,北京,100083）
王国江（北京科技大学信息工程学院,北京,100083）
王玉锋（北京科技大学信息工程学院,北京,100083）

参考文献：

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题目 计算机系统入侵检测的隐马尔可夫模型
A Hidden Markov Model Used in Intrusion Detection
作者 谭小彬1 王卫平2 奚宏生1 殷保群1
TAN Xiao-Bin1, WANG Wei-Ping2, XI Hong-Sheng1, and YIN Bao-Qun1
单位 (中国科学技术大学自动化系 合肥 230027)； 2(中国科学技术大学商学院 合肥 230026) (xbtan@sohu.com
1(Department of Automation, University of Science & Technology of China, Hefei 230027) 2(School of Business and Management, University of Science & Technology of China, Hefei 230026)
关键词 入侵检测；异常检测；隐马尔可夫模型(HMM)
intrusion detection; anomaly detection; hidden Markov model (HMM)
摘要 入侵检测技术作为计算机安全技术的一个重要组成部分，现在受到越来越广泛地关注.首先建立了一个计算机系统运行状况的隐马尔可夫模型(HMM)，然后在此模型的基础上提出了一个用于计算机系统实时异常检测的算法，以及该模型的训练算法.这个算法的优点是准确率高，算法简单，占用的存储空间很小，适合用于在计算机系统上进行实时检测.
As the key component of computer security technique, intrusion detection has received more and more attention. In this paper, an overview of research in anomaly detection is presented with emphasis on issues related to found a hidden Markov model (HMM) for the normal states of computer system, and an algorithm of anomaly detection is brought forward. The probability of observed sequence is computed and the average probability of a fixed length sequence is used as the metric of anomaly detection. To improve accuracy, an update algorithm for this hidden Markov model is also presented based on the forgetting factor. This method is not only useful in theory, but also can be used in practice to monitor the computer system in real time.