Radial basis function neural network model for protection of power transformer

被引：4

作者：

Moravej, Z ^{[1
]}

Vishwakarma, DN ^{[1
]}

Singh, SP ^{[1
]}

机构：

[1] Banaras Hindu Univ, Inst Technol, Dept Elect Engn, Varanasi 221005, Uttar Pradesh, India

来源：

ELECTRIC POWER COMPONENTS AND SYSTEMS | 2001年 / 29卷 / 04期

关键词：

D O I：

10.1080/15325000151125595

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A neural network based on Radial Basis Function (RBF) for protection of power transformer is presented in this paper. Performance of this model is compared with Feed Forward Neural Network (FFNN). The proposed method is evaluated using simulations performed with the EMTP package. The proposed model requires less training time and is more accurate in prediction as compared to FFNN.

引用

页码：307 / 320

页数：14

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