A new ensemble learning algorithm based on improved K-means for training neural network ensembles

Proceedings - 2nd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2009

Volumn , Issue , 2009, Pages 8-11

  Zhi Gang, Gan ^a   Nan Feng, Xiao ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Diversity; K means; Learning; Neural network ensemble

Indexed keywords

CONTRAST EXPERIMENT; DATA SETS; DIVERSITY; ENSEMBLE LEARNING ALGORITHM; FORECAST ERRORS; IMPROVED K-MEANS ALGORITHM; K-MEANS; K-MEANS ALGORITHM; LEARNING; NEURAL NETWORK ENSEMBLE; NEURAL NETWORK ENSEMBLES; PREDICTION ACCURACY; PREDICTION ERRORS; SAMPLE SPACE; SPACE DIVERSITY; TRAINING METHODS;

EDUCATION; INFORMATION TECHNOLOGY; LEARNING SYSTEMS; NEURAL NETWORKS;

LEARNING ALGORITHMS;

EID: 67649352972     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IITSI.2009.8     Document Type: Conference Paper

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