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Published in 2017 at "Cognitive Computation"
DOI: 10.1007/s12559-017-9451-y
Abstract: As a novel learning algorithm for a single hidden-layer feedforward neural network, the extreme learning machine has attracted much research attention for its fast training speed and good generalization performances. Instead of iteratively tuning the…
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Keywords:
input weights;
machine;
extreme learning;
learning machine ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.06.079
Abstract: Abstract The random assignment strategy for input weights has brought extreme learning machine (ELM) many advantages such as fast learning speed, minimal manual intervention and so on. However, the Monte Carlo (MC) based random sampling…
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Keywords:
input weights;
sample structure;
structure preserving;
extreme learning ... See more keywords