摘要
基于隐马尔可夫模型HMM提出了一种新的信息工程监理质量控制方法,并建立了模型。该模型将信息工程质量监理过程视为两层随机过程,通过抽取监理过程的特征,将隐马尔可夫模型的5个要素与质量监理过程相对应。利用该模型可以求解质量度量要素观测序列和质量状态的匹配度,通过调整模型的初始参数可以将该模型应用于不同的监理软件,并以概率的形式预测监理过程的结果。通过仿真实验,验证了该方法应用于信息工程监理质量控制的可行性。
A new quality control method of information engineering surveillance based on hidden Markov model was represented and a model was built.The process of information engineering quality surveillance was viewed as two layers of random processes.The five elements of hidden Markov model corresponded with the process of quality surveillance through abstracting the characteristics of the surveillance process.The matching probability of the observed list of the quality evaluating elements and the quality state can be calculated under this model.Initial parameters of the model can be adjusted in order to apply it to different surveillance software and the surveillance results can be predicted as probability.It proved to be feasible that this method can be applied to information engineering quality surveillance through the simulation experiment.
出处
《微型机与应用》
2010年第21期91-93,99,共4页
Microcomputer & Its Applications
基金
北京市教育委员会科技发展计划面上项目(KM200610011008)
关键词
信息工程监理
质量控制
隐马尔可夫模型
前向算法
information engineering surveillance
quality control
hidden Markov model
forward algorithm
