Vulnerability Assessment of a Large Sized Power System Using Neural Network Considering Various Feature Extraction Methods | Zendy

Ahmed M. A. Haidar | Zendy; Azah Mohamed | Zendy; Aini Hussian | Zendy

Open Access

Vulnerability 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

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research