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Comparison studies of five neural network based fault classifiers for complex transmission lines
被引:0
作者
:
Song, YH
论文数:
0
引用数:
0
h-index:
0
机构:
UNIV BATH,SCH ELECT & ELECT ENGN,BATH BA2 7AY,AVON,ENGLAND
UNIV BATH,SCH ELECT & ELECT ENGN,BATH BA2 7AY,AVON,ENGLAND
Song, YH
[
1
]
Xuan, OY
论文数:
0
引用数:
0
h-index:
0
机构:
UNIV BATH,SCH ELECT & ELECT ENGN,BATH BA2 7AY,AVON,ENGLAND
UNIV BATH,SCH ELECT & ELECT ENGN,BATH BA2 7AY,AVON,ENGLAND
Xuan, OY
[
1
]
Johns, AT
论文数:
0
引用数:
0
h-index:
0
机构:
UNIV BATH,SCH ELECT & ELECT ENGN,BATH BA2 7AY,AVON,ENGLAND
UNIV BATH,SCH ELECT & ELECT ENGN,BATH BA2 7AY,AVON,ENGLAND
Johns, AT
[
1
]
机构
:
[1]
UNIV BATH,SCH ELECT & ELECT ENGN,BATH BA2 7AY,AVON,ENGLAND
来源
:
1996 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING - CONFERENCE PROCEEDINGS, VOLS I AND II: THEME - GLIMPSE INTO THE 21ST CENTURY
|
1996年
关键词
:
power systems;
neural networks;
fault detection;
artificial intelligence;
D O I
:
暂无
中图分类号
:
TP3 [计算技术、计算机技术];
学科分类号
:
0812 ;
摘要
:
引用
收藏
页码:745 / 749
页数:5
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