Rule extraction from artificial neural networks for voltage security analysis

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2002, Pages 2126-2131

  Abrao P J ^a   Alves Da Silva, A P ^a   Zambroni De Souza, A C ^a  

^a Federal Center of Technology Educ   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC POWER SYSTEM PROTECTION; ELECTRIC POWER SYSTEMS; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; VOLTAGE CONTROL;

DECISION TREES; OPTIMAL ESTIMATE TRAINING; RULE EXTRACTION; VALIDITY INTERVAL ANALYSIS; VOLTAGE SECURITY ANALYSIS; VOLTAGE STABILITY ASSESSMENT;

FEEDFORWARD NEURAL NETWORKS;

EID: 0036086027     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Comparison of performance indices for detection of proximity to voltage collapse
2. Alarm processing based on associative neural memories with explanatory capability
3. Fast learning artificial neural systems: Multilayer perception training using optimal estimation
4. Point of collapse and continuation methods for large AC/DC systems