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rdf:type
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Description
| - Predictive control using artificial neural network with algorithm backpropagation is presented in the paper. This is the %22learning teacher%22 type of the ANN (artifiicial neural network). Pairs of corresponding values to each other are put at the inputs and outputs in the training phase. Then, the information %22overflows%22 from inputs to outputs and back until it gains the minimal global error per the number of epochs. After teaching, the ANN is able to predict the output value perfectly although the disturbance signal is presented. Neural network is by this way used as nonlinear substitution for very complex systems and controlled output value is predicted. This value is then used for PSD controller adaptive control. The results are presented as simulatedexamples in the environment of MATLAB and Simulink programs.
- Predictive control using artificial neural network with algorithm backpropagation is presented in the paper. This is the %22learning teacher%22 type of the ANN (artifiicial neural network). Pairs of corresponding values to each other are put at the inputs and outputs in the training phase. Then, the information %22overflows%22 from inputs to outputs and back until it gains the minimal global error per the number of epochs. After teaching, the ANN is able to predict the output value perfectly although the disturbance signal is presented. Neural network is by this way used as nonlinear substitution for very complex systems and controlled output value is predicted. This value is then used for PSD controller adaptive control. The results are presented as simulatedexamples in the environment of MATLAB and Simulink programs. (en)
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Title
| - Prediction and predictive control using feedforward neural network
- Prediction and predictive control using feedforward neural network (en)
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skos:prefLabel
| - Prediction and predictive control using feedforward neural network
- Prediction and predictive control using feedforward neural network (en)
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skos:notation
| - RIV/70883521:28110/01:00000044!RIV/2002/GA0/281102/N
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(GA102/00/0526), P(GA102/99/1292), Z(MSM 281100001)
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/70883521:28110/01:00000044
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - predictive control, neural networks, predictor, PSD controller (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proc. 4th International Conference on Prediction and Nonlinear Dynamics
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...ocetUcastnikuAkce
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http://linked.open...nichUcastnikuAkce
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Bobál, Vladimír
- Janota, David
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Univerzita Tomáše Bati ve Zlíně
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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