Open AccessVulnerability Assessment of a Large Sized Power System Using Neural Network Considering Various Feature Extraction Methods
Author(s) -
Ahmed M. A. Haidar,
Azah Mohamed,
Aini Hussian
Publication year - 2008
Publication title -
journal of electrical engineering and technology/journal of electrical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.226
H-Index - 27
eISSN - 2093-7423
pISSN - 1975-0102
DOI - 10.5370/jeet.2008.3.2.167
Subject(s) - vulnerability (computing) , artificial neural network , computer science , vulnerability assessment , feature (linguistics) , feature extraction , extraction (chemistry) , power (physics) , power network , artificial intelligence , data mining , pattern recognition (psychology) , reliability engineering , machine learning , electric power system , engineering , computer security , psychology , chromatography , chemistry , physics , quantum mechanics , psychological resilience , psychotherapist , linguistics , philosophy