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  • The aim of this article is comparison of accuracy level of forecasted values of several artificial neural network models. The comparison is performed on datasets of Czech household consumption values. Several statistical models en resolve this task with more or fewer restrictions. In previous work where models' input conditions were not so strict and model with missing data was used (the time series didn't contain many values) we have obtained comparably good results with artificial neural networks. Two views - practical and theoretical, motivate the purpose of this study. Forecasting models for medium term prognosis of the main trends of Czech household consumption is part of the faculty research design grant MSM 6215648904/03/02 (Sub-task 5.3) which defines the practical purpose. Testing of nonlinear autoregressive artificial neural network model compared with feedforward neural network and radial basis function neural network defines the theoretical purpose. The performance metrics of the models were evaluated using a combination of common error metrics, namely Correlation Coefficient and Mean Square Error, together with the number of epochs and/or main prediction error.
  • The aim of this article is comparison of accuracy level of forecasted values of several artificial neural network models. The comparison is performed on datasets of Czech household consumption values. Several statistical models en resolve this task with more or fewer restrictions. In previous work where models' input conditions were not so strict and model with missing data was used (the time series didn't contain many values) we have obtained comparably good results with artificial neural networks. Two views - practical and theoretical, motivate the purpose of this study. Forecasting models for medium term prognosis of the main trends of Czech household consumption is part of the faculty research design grant MSM 6215648904/03/02 (Sub-task 5.3) which defines the practical purpose. Testing of nonlinear autoregressive artificial neural network model compared with feedforward neural network and radial basis function neural network defines the theoretical purpose. The performance metrics of the models were evaluated using a combination of common error metrics, namely Correlation Coefficient and Mean Square Error, together with the number of epochs and/or main prediction error. (en)
Title
  • Forecast of Consumer Behaviour Based on Neural Networks Models Comparison.
  • Forecast of Consumer Behaviour Based on Neural Networks Models Comparison. (en)
skos:prefLabel
  • Forecast of Consumer Behaviour Based on Neural Networks Models Comparison.
  • Forecast of Consumer Behaviour Based on Neural Networks Models Comparison. (en)
skos:notation
  • RIV/62156489:43110/12:00200599!RIV13-MSM-43110___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6215648904)
http://linked.open...iv/cisloPeriodika
  • 2
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 136932
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43110/12:00200599
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • learning algorithms; prediction; neural network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [E44C7D35673A]
http://linked.open...i/riv/nazevZdroje
  • Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2012
http://linked.open...iv/tvurceVysledku
  • Popelka, Ondřej
  • Šťastný, Jiří
  • Štencl, Michael
http://linked.open...n/vavai/riv/zamer
issn
  • 1211-8516
number of pages
http://localhost/t...ganizacniJednotka
  • 43110
is http://linked.open...avai/riv/vysledek of
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