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 . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.