• 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