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《Journal of Jilin University(Science Edition)》 2018-03
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Adaptive Software Decision Model Based on HMM

WANG Pingfan;LIU Shufen;College of Computer Science & Technology,Henan Polytechnic University;College of Computer Science and Technology,Jilin University;  
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.
【Fund】: 国家自然科学基金(批准号:61472160)
【CateGory Index】: TP311.5
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