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都是期刊論文： （1）Condition time series prediction of electronic system based on optimized relevance vector machine;系統(tǒng)工程與電子技術(shù)，2013第9期 （2）Probabilistic Prediction Method for Aeroengine Performance Parameters Based on Combined Optimum Relevance Vector Machine；航空學(xué)報(bào)，2013第9期 |
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【答案】應(yīng)助回帖
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meteras: 金幣+50, ★★★★★最佳答案 2013-10-28 07:26:12
感謝參與，應(yīng)助指數(shù) +1
meteras: 金幣+50, ★★★★★最佳答案 2013-10-28 07:26:12
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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. 第二篇還沒有被檢索。 |
2樓2013-10-27 21:07:03
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