An automatic knowledge acquisition method for switching sequences and its evaluation

Author

Yoshizawa, J. ; Ogi, H. ; Takano, T. ; Matsumoto, K.

Author_Institution

Comput. & Commun. Res. Center, Tokyo Electr. Power Co. Inc., Japan

fYear

1993

fDate

4-7 May 1993

Firstpage

58

Lastpage

64

Abstract

This paper presents the development and maintenance of intelligent ´switching sequence generation´ systems. The author´s have developed a new framework which can construct and update its knowledge base without external influence. This paper proposes an automatic knowledge acquisition method, a key part of the intelligent system architecture, which is realized by means of the machine learning paradigm. This paper introduces a new knowledge acquisition method and discusses the evaluation and the extension for the purpose of its practical use.<>

Keywords

expert systems; knowledge acquisition; learning (artificial intelligence); power system computer control; switching; automatic knowledge acquisition method; expert systems; intelligent switching sequence generation; intelligent system architecture; machine learning; power systems; Communication industry; Communication switching; Expert systems; Humans; Intelligent systems; Knowledge acquisition; Learning systems; Machine learning; Power systems; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Industry Computer Application Conference, 1993. Conference Proceedings

Conference_Location

Scottsdale, AZ, USA

Print_ISBN

0-7803-1301-1

Type

conf

DOI

10.1109/PICA.1993.291035

Filename

291035