吉林大学学报（理学版）2018，Vol.56Issue(3)：645-649,5.DOI:10.13413/j.cnki.jdxblxb.2018.03.29
基于HMM的自适应软件决策模型
Adaptive Sof tware Decision Model Based on HMM
摘要
Abstract
In order to realize the adaptive software ,we proposed an adaptive software decision model based on hidden Markov model (HMM ) for the complex and changeable operating environment . Firstly ,the Gaussian mixture model (GMM) was used to classify the initial environment .Secondly , the softmax regression was used to classify and divide the perceptual environment .Finally ,we used HMM instead of the manual intervention to make software decisions .The experimental results show that the adaptive software model can achieve the adaptive software decision well under the condition of the change of the perceptual environment .关键词
高斯混合模型/softmax回归/隐Markov模型/自适应软件Key words
Gaussian mixture model (GMM )/softmax regression/hidden Markov model (HMM )/adaptive software分类
信息技术与安全科学引用本文复制引用
王平凡,刘淑芬..基于HMM的自适应软件决策模型[J].吉林大学学报（理学版）,2018,56(3):645-649,5.基金项目
国家自然科学基金(批准号:61472160). （批准号:61472160）
