Construct · 1 fields · 1 citations

extreme learning machine: a standalone construct

One name. One construct. A landmark on the map.

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Deep learning

a single hidden layer feedforward network whose hidden weights are set at random and left fixed, with only the output weights solved analytically.

In deep learning, extreme learning machine refers to a single hidden layer feedforward network whose hidden weights are set at random and left fixed, with only the output weights solved analytically. This meaning comes from Huang (2006) in Neurocomputing.[1]

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Nearby constructs

deep learning1 fields · 1 citationsanchor · a standalone construct feedforward3 fields · 5 citationsjingle · one word, three constructs layer3 fields · 5 citationsjingle · one word, three constructs

References

Huang, G., Zhu, Q., & Siew, C. (2006). Extreme learning machine: Theory and applications. Neurocomputing, 70(1-3), 489-501. https://doi.org/10.1016/j.neucom.2005.12.126

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