Effects of learning rate on the performance of the population based incremental learning algorithm

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 861-868

  Folly, Komla A ^a   Venayagamoorthy, Ganesh K ^b  

^a UNIVERSITY OF CAPE TOWN   (South Africa)

^b MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; BIT-STRINGS; COMPETITIVE LEARNING; CROSSOVER OPERATOR; HIGHER LEARNING; LEARNING RATES; LEARNING VECTOR QUANTIZATION; MULTI MACHINE POWER SYSTEM; POPULATION-BASED INCREMENTAL LEARNING; POWER SYSTEM STABILIZERS; PREMATURE CONVERGENCE; PROBABILITY VECTOR; PROTOTYPE VECTORS; SIMPLE GENETIC ALGORITHM;

CONVERGENCE OF NUMERICAL METHODS; EDUCATION; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC REACTORS; EVOLUTIONARY ALGORITHMS; LEARNING SYSTEMS; MACHINE DESIGN; MATHEMATICAL OPERATORS; NEURAL NETWORKS; VECTOR QUANTIZATION; VECTORS;

LEARNING ALGORITHMS;

EID: 70449358687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5179080     Document Type: Conference Paper

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