Artificial neural networks in power systems Part 2 Types of artificial neural networks

被引：26

作者：

Aggarwal, R ^{[1
]}

Song, Y

机构：

[1] Univ Bath, Dept Elect & Elect Engn, Power & Energy Syst Grp, Bath BA2 7AY, Avon, England

[2] Brunel Univ, Dept Elect & Elect Engn, Uxbridge UB8 3PH, Middx, England

来源：

POWER ENGINEERING JOURNAL | 1998年 / 12卷 / 01期

关键词：

Electric power systems - Error correction - Learning systems - Problem solving;

D O I：

10.1049/pe:19980110

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This tutorial describes the different types of artificial neural networks in use today. It is the second in a series of three tutorials which describe the role of artificial neural networks in solving complex problems in modern-day power systems.

引用

页码：41 / 47

页数：7