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Trends in extreme learning machines: A review

Neural Networks · 2014 · Vol. 61 · pp. 32–48
Gao HuangGuang-Bin HuangShiji SongKeyou You
Machine Learning and ELMAdvanced Memory and Neural ComputingNeural Networks and ApplicationsComputer scienceExtreme learning machineArtificial intelligenceMachine learningGeneralizationStability (learning theory)SimplicityCluster analysisVariety (cybernetics)Identification (biology)

MeSH terms

AlgorithmsArtificial Intelligence

Funding

  • National Natural Science Foundation of China
  • Specialized Research Fund for the Doctoral Program of Higher Education of China
Citations
1,724
FWCI
164.22
field-weighted impact
References
237
Percentile
100%
vs. same field & year
Citations per year
References
Learning representations by back-propagating errors
Nature · 1986 · 30,045 citations
Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
The American Journal of Psychology · 1963 · 1,819 citations
Weighted extreme learning machine for imbalance learning
Neurocomputing · 2012 · 732 citations
Extreme learning machine: Theory and applications
Neurocomputing · 2006 · 13,038 citations
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