|本期目录/Table of Contents|

[1]张睿敏,张琪淼,杜叔强.Android平台上属性约简贝叶斯优化Web Services分类选择算法研究[J].工业仪表与自动化装置,2017,(02):119-122.
 ZHANGRuiin,ZHANG Qimiao,DU Shuqiang.Research of Android platform attribute reduction Bayesian optimization classification of Web Services selection algorithm[J].Industrial Instrumentation & Automation,2017,(02):119-122.
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Android平台上属性约简贝叶斯优化Web Services分类选择算法研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2017年02期
页码:
119-122
栏目:
出版日期:
2017-04-15

文章信息/Info

Title:
Research of Android platform attribute reduction Bayesian optimization classification of Web Services selection algorithm
文章编号:
1000-0682(2017)02-0000-00
作者:
张睿敏1张琪淼2杜叔强1
(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)
Author(s):
ZHANGRuiin1ZHANG Qimiao2DU Shuqiang1
(1. Department of Software, Lanzhou Institute of Technology, Lanzhou 730050, China;2. Lanzhou Municipal Public Security Bureau, Lanzhou 730030, China)
关键词:
Web Services贝叶斯优化算法研究
Keywords:
Web services Bayesian optimization algorithm research
分类号:
TP31
DOI:
-
文献标志码:
A
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。然而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。
Abstract:
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.However how to choose the Web Services of quality service(QoS) demand under the conditions of limited resources. through the establishment of the QoS Ontology. A Web Services classification selection algorithm of attribute reduction based on Bayesian optimization is proposed . The algorithm can improve 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.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-10-09
基金项目: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)
作者简介:张睿敏(1978),女,甘肃兰州人,硕士,讲师,主要研究方向为移动互联网,物联网,Web信息组合。
更新日期/Last Update: 1900-01-01