| 查看: 391 | 回复: 2 | ||
[求助]
50币币求查Ei检索号
|
|
都是期刊论文： （1）Condition time series prediction of electronic system based on optimized relevance vector machine;系统工程与电子技术，2013第9期 （2）Probabilistic Prediction Method for Aeroengine Performance Parameters Based on Combined Optimum Relevance Vector Machine；航空学报，2013第9期 |
回复此楼» 猜你喜欢
国自然申请面上模板最新2026版出了吗？
已经有8人回复
-
纳米粒子粒径的测量
已经有7人回复
-
常年博士招收(双一流，工科)
已经有4人回复
-
推荐一本书
已经有10人回复
-
溴的反应液脱色
已经有4人回复
-
参与限项
已经有5人回复
-
有没有人能给点建议
已经有5人回复
-
假如你的研究生提出不合理要求
已经有12人回复
-
萌生出自己或许不适合搞科研的想法，现在跑or等等看？
已经有4人回复
-
Materials Today Chemistry审稿周期
已经有4人回复
» 本主题相关价值贴推荐，对您同样有帮助:
- 求问怎么查某个会议是否被EI或SCI检索
已经有15人回复
- 写了篇生物测量方面的文章，求助投到哪个外文EI检索期刊？
已经有6人回复
- 急求文章的EI检索号(1篇含SCI号），
已经有6人回复
- 请求查询我的论文的SCI检索号，我们学校没有数据库。
已经有6人回复
- isdea 2010在ei数据库中可以查到了，但检索数据库是inspec
已经有4人回复
xgj2008best
至尊木虫 (知名作家)
- 应助: 66 (初中生)
- 金币: 11531.8
- 散金: 359
- 红花: 13
- 帖子: 7082
- 在线: 1077.1小时
- 虫号: 1320746
- 注册: 2011-06-11
- 专业: 计算数学与科学工程计算
【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与，应助指数 +1
meteras: 金币+50, ★★★★★最佳答案 2013-10-28 07:26:12
感谢参与，应助指数 +1
meteras: 金币+50, ★★★★★最佳答案 2013-10-28 07:26:12
|
Accession number: 20134116842745 Title: Condition time series prediction of electronic system based on optimized relevance vector machine Authors: Fan, Geng1 ; Ma, Deng-Wu1 ; Wu, Ming-Hui2 ; Meng, Shang2 Author affiliation: 1 Department of Ordnance Science and Technology, Naval Aeronautical and Astronautical University, Yantai 264001, China 2 Department of Scientific Research, Naval Aeronautical and Astronautical University, Yantai 264001, China Corresponding author: Fan, G. (meteras@163.com) Source title: Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics Abbreviated source title: Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron Volume: 35 Issue: 9 Issue date: September 2013 Publication year: 2013 Pages: 2011-2015 Language: Chinese ISSN: 1001506X CODEN: XGYDEM Document type: Journal article (JA) Publisher: Chinese Institute of Electronics, P.O. Box 165, Beijing, 100036, China Abstract: A method based on optimal relevance vector machine (RVM) is proposed to solve the problem of electronic system condition time series prediction. Based on the phase space reconstruction of electronic system condition time series, the RVM regression model is established. A quantum-behaved particle swarm optimization (QPSO) algorithm is employed to realize automatic selection of the established model parameters, which adopts cross-validation error as the optimization objective function and takes the kernel parameter as the particle position in quantum space. Experimental results show that the proposed method has higher point prediction accuracy and can provide probabilistic predictions, which is conducive to determine the future health status of electronic systems more reliably. Number of references: 17 Main heading: Electronics engineering Controlled terms: Forecasting - Particle swarm optimization (PSO) - Phase space methods - Regression analysis - Time series Uncontrolled terms: Cross validation - Electronic systems - Quantum-behaved particle swarm optimization - Relevance Vector Machine - Time series prediction Classification code: 922.2 Mathematical Statistics - 921 Mathematics - 723 Computer Software, Data Handling and Applications - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 715 Electronic Equipment, General Purpose and Industrial - 714 Electronic Components and Tubes - 713 Electronic Circuits DOI: 10.3969/j.issn.1001-506X.2013.09.35 Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. 第二篇还没有被检索。 |
2楼2013-10-27 21:07:03
3楼2013-12-05 11:00:55