Selection Method for Kernel Function in Nonparametric Extrapolation Based on Multicriteria Decision-Making Technology
المؤلفون المشاركون
Wang, Jixin
Liu, Yan
Zhou, Zhenping
Wang, Naixiang
Shen, Wanghao
Zeng, Xiao-hua
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-09-30
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Selecting the most appropriate kernel function to extrapolate a load set is the paramount step in compiling load spectrum, as it affects the results of nonparametric extrapolation largely.
Aiming at this issue, this paper provides a new approach in selecting kernel function for the nonparametric extrapolation.
To solve the complexity and uncertainty of nonparametric extrapolation, characteristics of four kernel functions and their effects on the results are explained in the “from-to” diagram obtained by rainflow counting.
Multicriteria decision-making (MCDM) is then applied to solve the selection problem of kernel function.
To evaluate the dispersion degrees of the mean and amplitude of a load set accurately, their range, standard deviation, and interquartile range are selected as the evaluation criteria.
The weight of each criterion, which represents the impact degree on the selection of the kernel function, is calculated separately using the eigenvector and entropy method.
The comprehensive weights are obtained by applying the optimization theory and Jaynes’ maximum entropy principle.
Finally, the importance of each criterion is discussed according to their calculated comprehensive weights, and the selection method for kernel functions is obtained, which is illustrated by extrapolating the output torque of the power split device of hybrid electrical vehicles.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Jixin& Liu, Yan& Zeng, Xiao-hua& Zhou, Zhenping& Wang, Naixiang& Shen, Wanghao. 2013. Selection Method for Kernel Function in Nonparametric Extrapolation Based on Multicriteria Decision-Making Technology. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1031846
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Jixin…[et al.]. Selection Method for Kernel Function in Nonparametric Extrapolation Based on Multicriteria Decision-Making Technology. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1031846
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Jixin& Liu, Yan& Zeng, Xiao-hua& Zhou, Zhenping& Wang, Naixiang& Shen, Wanghao. Selection Method for Kernel Function in Nonparametric Extrapolation Based on Multicriteria Decision-Making Technology. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1031846
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1031846
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر