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Fast Prediction with Sparse Multikernel LS-SVR Using Multiple Relevant Time Series and Its Application in Avionics System
المؤلفون المشاركون
Yangming, Guo
Xiaobin, Cai
He, Pei
Wang, Xiang T.
Zheng, Ya F.
Liu, Chong
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-05-18
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Health trend prediction is critical to ensure the safe operation of highly reliable systems.
However, complex systems often present complex dynamic behaviors and uncertainty, which makes it difficult to develop a precise physical prediction model.
Therefore, time series is often used for prediction in this case.
In this paper, in order to obtain better prediction accuracy in shorter computation time, we propose a new scheme which utilizes multiple relevant time series to enhance the completeness of the information and adopts a prediction model based on least squares support vector regression (LS-SVR) to perform prediction.
In the scheme, we apply two innovative ways to overcome the drawbacks of the reported approaches.
One is to remove certain support vectors by measuring the linear correlation to increase sparseness of LS-SVR; the other one is to determine the linear combination weights of multiple kernels by calculating the root mean squared error of each basis kernel.
The results of prediction experiments indicate preliminarily that the proposed method is an effective approach for its good prediction accuracy and low computation time, and it is a valuable method in applications.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yangming, Guo& He, Pei& Wang, Xiang T.& Zheng, Ya F.& Liu, Chong& Xiaobin, Cai. 2015. Fast Prediction with Sparse Multikernel LS-SVR Using Multiple Relevant Time Series and Its Application in Avionics System. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073882
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yangming, Guo…[et al.]. Fast Prediction with Sparse Multikernel LS-SVR Using Multiple Relevant Time Series and Its Application in Avionics System. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1073882
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yangming, Guo& He, Pei& Wang, Xiang T.& Zheng, Ya F.& Liu, Chong& Xiaobin, Cai. Fast Prediction with Sparse Multikernel LS-SVR Using Multiple Relevant Time Series and Its Application in Avionics System. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073882
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073882
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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