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author:

Qiu, Z. (Qiu, Z..) [1] | Ruan, J. (Ruan, J..) [2] | Shu, S. (Shu, S..) [3] (Scholars:舒胜文)

Indexed by:

Scopus

Abstract:

The proposed air insulation prediction model is established based on support vector machine. In this chapter, the theoretical basis and implementation procedure of the prediction method are introduced in detail, mainly including the fundamental of statistical learning theory and SVM, the parameter optimization methods, the feature dimension reduction methods, the sample selection method, the error analysis method and the implementation process of the prediction model. © Springer Nature Singapore Pte Ltd. and Science Press, Beijing 2019.

Keyword:

Community:

  • [ 1 ] [Qiu, Z.]Department of Energy and Electrical Engineering, Nanchang University, Nanchang, Jiangxi province, China
  • [ 2 ] [Ruan, J.]School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei province, China
  • [ 3 ] [Shu, S.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian province, China

Reprint 's Address:

  • [Qiu, Z.]Department of Energy and Electrical Engineering, Nanchang UniversityChina

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Source :

Power Systems

Monograph name: Power Systems

ISSN: 1612-1287

Issue: Springer Verlag

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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