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Volumn 2003-January, Issue , 2003, Pages 181-185
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Self-adaptive genetic algorithms based characterization of structured model parameters
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Author keywords
Actuators; Curve fitting; Genetic algorithms; Genetic engineering; Induction machines; Optimization methods; Power engineering computing; Power system modeling; Stochastic processes; Testing
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Indexed keywords
ACTUATORS;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
ASYNCHRONOUS MACHINERY;
CHARACTERIZATION;
COMPUTATION THEORY;
COMPUTER AIDED ENGINEERING;
CURVE FITTING;
DIGITAL STORAGE;
ELECTRIC MACHINE THEORY;
GENETIC ALGORITHMS;
GENETIC ENGINEERING;
RANDOM PROCESSES;
STOCHASTIC SYSTEMS;
SYSTEM THEORY;
TESTING;
ARTIFICIAL INTELLIGENCE TECHNIQUES;
CHARACTERIZATION PROCEDURES;
INDUCTION MACHINES;
OPTIMIZATION METHOD;
POWER ENGINEERING COMPUTING;
POWER SYSTEM MODEL;
SELF ADAPTIVE GENETIC ALGORITHM;
STANDARD GENETIC ALGORITHM;
PARAMETER ESTIMATION;
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EID: 84944209155
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/SSST.2003.1194554 Document Type: Conference Paper |
Times cited : (6)
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References (6)
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