DocumentCode
322979
Title
Application of artificial neural networks in power system management
Author
Döding, G.
Author_Institution
AEG Atlas, Germany
Volume
4
fYear
1997
fDate
1997
Abstract
In the “biological system” of the brain, information is processed in a network comprising complicated interconnections of autonomously operating “biological processors”: neurons. It is parallel to a high degree and extremely tolerant of faults. It demonstrates remarkable properties such as the abilities to learn, to generalise, to concentrate, to associate and to adapt. As a result of its architecture, the brain is referred to as a “natural neural network”. Artificial neural networks (ANNs) are technical reproductions of this architecture. They involve using the current level of neuro-physiological knowledge about the informational processes in the neurons, synapses, dendrons and axons to model their functions. ANNs then also display the aforementioned properties in special applications
Keywords
power system control; adaption; applications; artificial neural networks; association; axons; concentration; dendrons; generalisation; learning; neuro-physiological knowledge; neurons; power system management; synapses;
fLanguage
English
Publisher
iet
Conference_Titel
Electricity Distribution. Part 1: Contributions. CIRED. 14th International Conference and Exhibition on (IEE Conf. Publ. No. 438)
Conference_Location
Birmingham
ISSN
0537-9989
Print_ISBN
0-85296-674-1
Type
conf
DOI
10.1049/cp:19970563
Filename
671667
Link To Document