In order to improve the speed of request response,this research proposes a one-stop request response technology based on machine learning.ADR server and DR operation management are used in the physical architecture to achieve one-stop request response.Modeling tools are used to build example diagrams and describe the operation details of the request response.It realizes the logical analysis of the one-stop request response through the perception layer,network layer and application layer of the logical architecture.The machine learning prediction method and the deep belief network(DBN)are used to realize the one-stop request response prediction.Experiments show that the response time of the system proposed is at least 1.1 s in tes-ting the speed of response,and when testing the accuracy of response prediction,the accuracy of response prediction is up to 97％.
关键词
机器学习/诉求响应/ADR/建模/DBN深度学习算法
Key words
machine learning/appeal response/ADR/modeling/DBN deep learning algorithm
维普
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