Thesis 1779
  • Audi Issa Mohammad Albtoush
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  • CiTIUS
Doctoral Program
  • Doutoramento en Investigación en tecnoloxías da información

New neural networks based on extreme learning machine

The extreme learning machine (ELM) is a popular neural network that has two major drawbacks for large-scale data sets: the need of tuning of the number of hidden neurons, and the pseudo-inversion of the hidden activation matrix. This thesis proposes algorithms that keep the simplicity and speed of the ELM network and: 1) avoid tuning and bound the size of hidden activation matrix; 2) raise the ELM performance with a suitable choice of the random bias values; 3) speeds up the hyper-parameter tuning by reducing the number of training executions required.
Keywords: Aprendizaxe automática, redes neuronales, Extreme Learning Machine, Large-scale datasets,
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