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  • This paper introduces innovative method of an artificial neural network (ANN) optimization (synthesis) by means of Analytic Programming (AP). The method proves itself to be especially effective when formally identified non-neural parts of the heating plant model need to be made more accurate. Asynchronous distribu-tion plays the key role here as the heating plant behavior data has to be acquired from a very large database and therefore learning of ANN may require a lot of computation time. The method was successfully tested on the real life problems as well as on widely recognized benchmark functions with respect to the function approximation, prediction and problems. The ANN synthesis software was de-signed based on .NET Framework technology. The resulting software is capable of automatic synthesis and optimizing the ANN based on the user-given data within a reasonable time. The ANN synthesis proves to be a useful and efficient tool for nonlinear modeling in comparison with competing methods.
  • This paper introduces innovative method of an artificial neural network (ANN) optimization (synthesis) by means of Analytic Programming (AP). The method proves itself to be especially effective when formally identified non-neural parts of the heating plant model need to be made more accurate. Asynchronous distribu-tion plays the key role here as the heating plant behavior data has to be acquired from a very large database and therefore learning of ANN may require a lot of computation time. The method was successfully tested on the real life problems as well as on widely recognized benchmark functions with respect to the function approximation, prediction and problems. The ANN synthesis software was de-signed based on .NET Framework technology. The resulting software is capable of automatic synthesis and optimizing the ANN based on the user-given data within a reasonable time. The ANN synthesis proves to be a useful and efficient tool for nonlinear modeling in comparison with competing methods. (en)
Title
  • Synthesis of a Neural Network via Analytic Programming Methodology
  • Synthesis of a Neural Network via Analytic Programming Methodology (en)
skos:prefLabel
  • Synthesis of a Neural Network via Analytic Programming Methodology
  • Synthesis of a Neural Network via Analytic Programming Methodology (en)
skos:notation
  • RIV/70883521:28140/13:43869450!RIV14-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0089)
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
  • 109518
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/13:43869450
http://linked.open...riv/jazykVysledku
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  • Programming; Analytic; Network; Neural; Synthesis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F3F28A862B14]
http://linked.open...v/mistoKonaniAkce
  • Ostrava
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems
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...iv/tvurceVysledku
  • Vařacha, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 2194-5357
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag. Berlin
https://schema.org/isbn
  • 978-3-642-33226-5
http://localhost/t...ganizacniJednotka
  • 28140
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