Attributes | Values |
---|
rdf:type
| |
Description
| - Artificial neural networks are a part of artificial intelligence that simulates a function of human brain. These progressive algorithms are used in prediction, pattern recognition (sound, image), process control and other branches. Neural networks have compared to classic methods advantage that they do not need to know model of predicted system for their function. In addition, they are tolerant of time series noise. There are many different approaches to the use of neural networks in predictive control systems. This contribution presents one method based on multilayer feedforward networks.
- Artificial neural networks are a part of artificial intelligence that simulates a function of human brain. These progressive algorithms are used in prediction, pattern recognition (sound, image), process control and other branches. Neural networks have compared to classic methods advantage that they do not need to know model of predicted system for their function. In addition, they are tolerant of time series noise. There are many different approaches to the use of neural networks in predictive control systems. This contribution presents one method based on multilayer feedforward networks. (en)
|
Title
| - Predictive Control Using Artificial Neural Networks
- Predictive Control Using Artificial Neural Networks (en)
|
skos:prefLabel
| - Predictive Control Using Artificial Neural Networks
- Predictive Control Using Artificial Neural Networks (en)
|
skos:notation
| - RIV/70883521:28110/03:63501239!RIV/2004/GA0/281104/N
|
http://linked.open.../vavai/riv/strany
| |
http://linked.open...avai/riv/aktivita
| |
http://linked.open...avai/riv/aktivity
| - P(GA102/03/0070), Z(MSM 281100001)
|
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
| |
http://linked.open...ai/riv/idVysledku
| - RIV/70883521:28110/03:63501239
|
http://linked.open...riv/jazykVysledku
| |
http://linked.open.../riv/klicovaSlova
| - artificial neural networks, prediction, predictive control (en)
|
http://linked.open.../riv/klicoveSlovo
| |
http://linked.open...ontrolniKodProRIV
| |
http://linked.open...v/mistoKonaniAkce
| |
http://linked.open...i/riv/mistoVydani
| |
http://linked.open...i/riv/nazevZdroje
| - Proceedings of International Carpathian Control Conference ICCC' 2003
|
http://linked.open...in/vavai/riv/obor
| |
http://linked.open...ichTvurcuVysledku
| |
http://linked.open...cetTvurcuVysledku
| |
http://linked.open...ocetUcastnikuAkce
| |
http://linked.open...nichUcastnikuAkce
| |
http://linked.open...vavai/riv/projekt
| |
http://linked.open...UplatneniVysledku
| |
http://linked.open...iv/tvurceVysledku
| - Dostál, Petr
- Sámek, David
|
http://linked.open...vavai/riv/typAkce
| |
http://linked.open.../riv/zahajeniAkce
| |
http://linked.open...n/vavai/riv/zamer
| |
number of pages
| |
http://purl.org/ne...btex#hasPublisher
| - Technická univerzita v Košiciach
|
https://schema.org/isbn
| |
http://localhost/t...ganizacniJednotka
| |