Empirical validation of elm trained neural networks for financial modelling

HIGHLIGHTS

• who: Volodymyr Novykov from the Bond University have published the Article: Empirical validation of ELM trained neural networks for financial modelling, in the Journal: CSL AU of 31/Dec/2019
• what: The aim of this work is to compare predictive performance of neural networks trained using the relatively novel technique of training single hidden layer feedforward neural networks (SFNN) called Extreme Learning Machine (ELM) with commonly used backpropagation-trained recurrent neural networks (RNN) as applied to the task of financial market prediction. This study compares this relatively novel ELM training methodology to the more well . . .
  

   

  

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