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The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line
المؤلفون المشاركون
Niu, Dongxiao
Lu, Yan
Xu, Xiaomin
Wang, Peng
Xia, Huicong
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-04-07
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Not only can the icing coat on transmission line cause the electrical fault of gap discharge and icing flashover but also it will lead to the mechanical failure of tower, conductor, insulators, and others.
It will bring great harm to the people’s daily life and work.
Thus, accurate prediction of ice thickness has important significance for power department to control the ice disaster effectively.
Based on the analysis of standard support vector machine, this paper presents a weighted support vector machine regression model based on the similarity (WSVR).
According to the different importance of samples, this paper introduces the weighted support vector machine and optimizes its parameters by hybrid swarm intelligence optimization algorithm with the particle swarm and ant colony (PSO-ACO), which improves the generalization ability of the model.
In the case study, the actual data of ice thickness and climate in a certain area of Hunan province have been used to predict the icing thickness of the area, which verifies the validity and applicability of this proposed method.
The predicted results show that the intelligent model proposed in this paper has higher precision and stronger generalization ability.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xu, Xiaomin& Niu, Dongxiao& Wang, Peng& Lu, Yan& Xia, Huicong. 2015. The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074750
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xu, Xiaomin…[et al.]. The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1074750
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xu, Xiaomin& Niu, Dongxiao& Wang, Peng& Lu, Yan& Xia, Huicong. The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074750
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1074750
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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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
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