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Description
  • The contribution deals with the prediction of crop yield levels, using an artificial intelligence approach, namely a multi-layer neural network model. Subsequently, we are contrasting this approach with several non-linear regression models, the usefulness of which has been tested and published several times in the specialized periodicals. The main stress is placed on judging the accuracy of the individual methods and of the implementation. A neural network simulation device is that which enables the user to set an adequate configuration of the neural network vis á vis the required task. The conclusions can be generalized for other tasks of a similar nature, especially for the tasks of a non-linear character, where the benefits of this method increase.
  • The contribution deals with the prediction of crop yield levels, using an artificial intelligence approach, namely a multi-layer neural network model. Subsequently, we are contrasting this approach with several non-linear regression models, the usefulness of which has been tested and published several times in the specialized periodicals. The main stress is placed on judging the accuracy of the individual methods and of the implementation. A neural network simulation device is that which enables the user to set an adequate configuration of the neural network vis á vis the required task. The conclusions can be generalized for other tasks of a similar nature, especially for the tasks of a non-linear character, where the benefits of this method increase. (en)
Title
  • Agricultural data prediction by means of neural network
  • Agricultural data prediction by means of neural network (en)
skos:prefLabel
  • Agricultural data prediction by means of neural network
  • Agricultural data prediction by means of neural network (en)
skos:notation
  • RIV/62156489:43110/11:00174179!RIV12-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
  • 7
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
  • 184893
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43110/11:00174179
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • multi-layer perceptron; neural network; learning; regression; approximation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [669A368FAA25]
http://linked.open...i/riv/nazevZdroje
  • Agricultural Economics-Zemedelska ekonomika
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2011
http://linked.open...iv/tvurceVysledku
  • Konečný, Vladimír
  • Trenz, Oldřich
  • Šťastný, Jiří
http://linked.open...n/vavai/riv/zamer
issn
  • 0139-570X
number of pages
http://localhost/t...ganizacniJednotka
  • 43110
is http://linked.open...avai/riv/vysledek of
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