Application of neural networks for forecasting energy security indicators

HIGHLIGHTS

  • What: The models were constructed for several parameter variants: 1) Number of hidden perceptrons: 2 (out of 8); 2) Type of hidden neuron functions: identity, logistic, hyperbolic; 3) Type of output function: identity, logistic, hyperbolic; Series of models were obtained.
  • Who: Elena Bykova and colleagues from the (UNIVERSITY) have published the article: Application of Neural Networks for Forecasting Energy Security Indicators, in the Journal: (JOURNAL)
  • How: Influencing factors and energy security index to Croatia based on 3 indicators are considered in the article of Vladimir Franki Alfredo Viskovic . This result is unsatisfactory and . . .

     

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