关键词: 高斯混合模型, 自适应软件, softmax回归, 隐Markov模型

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.

Key words: hidden Markov model (HMM), softmax regression, adaptive software, Gaussian mixture model (GMM)