Android平台上属性约简贝叶斯优化Web Services分类选择算法研究  

Research of Android platform attribute reduction Bayesian optimization classification of Web Services selection algorithm

作　　者：张睿敏[1] 张琪淼 杜叔强[1] 

机构地区：[1]兰州工业学院软件工程学院,兰州730050 [2]兰州市公安局,兰州730030

出　　处：《工业仪表与自动化装置》2017年第2期119-122,共4页Industrial Instrumentation & Automation

基　　金：国家自然科学基金项目(61462057);兰州工业学院2016年度青年科技创新项目(16K-014);2016年度甘肃省高等学校自筹经费科研项目(2016B-115)

摘　　要：现在Web Services已经成为Internet上一个重要的服务组件,Web Services的特点使它完全适合于为无线通信设备提供服务。对于如何在资源有限的条件下快速选择满足服务质量(QoS)需求的Web Services,该文通过建立顶层QoS本体,提出一种属性约简贝叶斯优化Web Services分类选择算法。该算法能在短时间内提高对Web Services的分类选择效率,为用户提供高质量的搜索查询结果,并适用于智能手机运行平台。Web Services has become an important service component on the Web now, Web Services ＇ features make it completely suitable for the wireless communications equipment to provide services. About how to choose the Web Services of quality service （QoS） demand under the conditions of limited resources, this paper through the establishment of the QoS ontology, put fomard a Web Services classifi- cation selection algorithm of attribute reduction based on Bayesian optimization. The algorithm can im- prove the efficiency of the classification selection of Web Services in a short time, and provide users with high quality search results, which is suitable for the smart phone operating platform.

关 键 词：WEB SERVICES 贝叶斯优化 算法研究 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]