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Description
  • In this paper, authors apply feed-forward artificial neural network (ANN) of RBF type into the process of modelling and forecasting the future value of USD/CAD time series. Authors test the customized version of the RBF and add the evolutionary approach into it. They also combine the standard algorithm for adapting weights in neural network with an unsupervised clustering algorithm called K-means. Finally, authors suggest the new hybrid model as a combination of a standard ANN and a moving average for error modeling that is used to enhance the outputs of the network using the error part of the original RBF. Using high-frequency data, they examine the ability to forecast exchange rate values for the horizon of one day. To determine the forecasting efficiency, authors perform the comparative out-of-sample analysis of the suggested hybrid model with statistical models and the standard neural network.
  • In this paper, authors apply feed-forward artificial neural network (ANN) of RBF type into the process of modelling and forecasting the future value of USD/CAD time series. Authors test the customized version of the RBF and add the evolutionary approach into it. They also combine the standard algorithm for adapting weights in neural network with an unsupervised clustering algorithm called K-means. Finally, authors suggest the new hybrid model as a combination of a standard ANN and a moving average for error modeling that is used to enhance the outputs of the network using the error part of the original RBF. Using high-frequency data, they examine the ability to forecast exchange rate values for the horizon of one day. To determine the forecasting efficiency, authors perform the comparative out-of-sample analysis of the suggested hybrid model with statistical models and the standard neural network. (en)
Title
  • Financial time series modelling with hybrid model based on customized RBF neural network combined with genetic algorithm
  • Financial time series modelling with hybrid model based on customized RBF neural network combined with genetic algorithm (en)
skos:prefLabel
  • Financial time series modelling with hybrid model based on customized RBF neural network combined with genetic algorithm
  • Financial time series modelling with hybrid model based on customized RBF neural network combined with genetic algorithm (en)
skos:notation
  • RIV/61989100:27510/14:86091167!RIV15-MSM-27510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(EE2.3.20.0296)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Marček, Dušan
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 16823
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27510/14:86091167
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • USD/CAD; Time series; RBF; Hybrid model; Genetic algorithm; Artificial neural network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [188D7951B2CA]
http://linked.open...i/riv/nazevZdroje
  • Advances in Electrical and Electronic Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 12
http://linked.open...iv/tvurceVysledku
  • Marček, Dušan
  • Falát, Lukáš
issn
  • 1336-1376
number of pages
http://bibframe.org/vocab/doi
  • 10.15598/aeee.v12i4.1206
http://localhost/t...ganizacniJednotka
  • 27510
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