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Volumn , Issue , 2012, Pages 458-461

Extreme learning machine for two category data classification

Author keywords

Classification; Extreme Learning Machine (ELM); Single hidden Layer Feed forward Neural network (SLFN)

Indexed keywords

ACTIVATION FUNCTIONS; CLASSIFICATION ACCURACY; DATA CLASSIFICATION; DATA CLASSIFICATION PROBLEMS; DATA SETS; EFFICIENT LEARNING; EVALUATION RESULTS; EXTREME LEARNING MACHINE; HIDDEN NEURONS; HIDDEN NODES; LOGISTIC REGRESSION ALGORITHMS; SINGLE-HIDDEN LAYER FEED-FORWARD NEURAL NETWORK; TRAINING TIME;

EID: 84869445251     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACCCT.2012.6320822     Document Type: Conference Paper
Times cited : (18)

References (13)
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  • 7
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    • Use of Kernel Functions in Artificial Immune Systems for the Nonlinear Classification Problems
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    • (2009) IEEE Transactions on Information Technology in Biomedicine , vol.13 , Issue.4 , pp. 621-628
    • Seral, S.1    Sadik, F.2
  • 8
    • 78649833401 scopus 로고    scopus 로고
    • An Intelligent Framework for the Classification of Premium and Regular Gasoline for Arson and Fuel Spill Investigation Based on Extreme Learning Machines
    • Communication Systems and Networks, IEEE computer society
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  • 9
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  • 10
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    • Learning Capability and Storage Capacity of Two-Hidden- Layer Feed forward Networks
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    • Extreme learning machine: Theory and applications
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.