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An improved Hopfield model for power system contingency classification
J. C. Chow
, R. Fischl
,
M. Kam
, H. H. Yan
, S. Ricciardi
Research output
:
Contribution to journal
›
Conference article
›
peer-review
22
Scopus citations
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Keyphrases
Optimization Methods
100%
Neural Network
100%
System Contingency
100%
Hopfield Model
100%
Contingency Identification
100%
Learning Methods
50%
Pattern Classification Problem
50%
Hopfield Neural Network
50%
Classification Problem
50%
Linear Programming Method
50%
Constrast
50%
Computer Science
Neural Network
100%
Classification Problem
50%
Pattern Recognition
50%
Recognition Problem
50%
Hopfield Neural Networks
50%
Programming Technique
50%
Linear Programming
50%
Engineering
Power Engineering
100%
Optimization Method
100%
Pattern Recognition
50%
Recognition Problem
50%
Linear Programming
50%
Classification Problem
50%
Chemical Engineering
Neural Network
100%
Hopfield Neural Networks
50%
Psychology
Neural Network
100%
Pattern Recognition
33%