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| Description
| - Laserové mikroobrábění je proces, který má několik vstupních parametrů. Pro dosažení produktu s požadovanými vlastnostmi musí být tyto parametry nastavovány velmi opatrně. V tomto článku je použita umělá neuronová vícevrstvá síť s dopředním šířením pro modelování složitých závislostí mezi vstupními parametry mikroobráběcího stroje a výstupními parametry obrobku. Úkolem umělé neuronové sítě je navrhovat nejvhodnější kombinaci vstupních parametrů stroje pro požadované výstupní charakteristiky výrobku. Tento prediktivní model laserového mikroobrábění je experimentálně verifikován (cs)
- The laser micro-machining is process which has several input parameters. These input parameters have to be set very carefully in order to obtain desired product. Main product quality characteristics are surface quality and depth of the groove. The examined input parameters of used laser machine were two - power of laser beam and feed. Influences of this two input parameters are contradictory. The higher the power is, the deeper the groove is and higher surface roughness is obtained. Nevertheless, the higher the feed is, the shallower the groove is and the lower surface roughness is. It is difficult to find good combination of these two parameters for desired output product quality. Moreover, dependence between single input parameter and single output characteristic is nonlinear what makes modelling by classical approaches even more complicated. In this paper artificial multilayer feed-forward neural network is used for modelling of behaviour between input and output parameters of laser micro-machining
- The laser micro-machining is process which has several input parameters. These input parameters have to be set very carefully in order to obtain desired product. Main product quality characteristics are surface quality and depth of the groove. The examined input parameters of used laser machine were two - power of laser beam and feed. Influences of this two input parameters are contradictory. The higher the power is, the deeper the groove is and higher surface roughness is obtained. Nevertheless, the higher the feed is, the shallower the groove is and the lower surface roughness is. It is difficult to find good combination of these two parameters for desired output product quality. Moreover, dependence between single input parameter and single output characteristic is nonlinear what makes modelling by classical approaches even more complicated. In this paper artificial multilayer feed-forward neural network is used for modelling of behaviour between input and output parameters of laser micro-machining (en)
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| Title
| - Verification of the predictor of laser micro-machining input parametrs
- Verification of the predictor of laser micro-machining input parametrs (en)
- Verifikace prediktoru vstupních parametrů laserového mikroobrábění (cs)
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| skos:prefLabel
| - Verification of the predictor of laser micro-machining input parametrs
- Verification of the predictor of laser micro-machining input parametrs (en)
- Verifikace prediktoru vstupních parametrů laserového mikroobrábění (cs)
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| skos:notation
| - RIV/70883521:28110/07:63505132!RIV08-MSM-28110___
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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
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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/70883521:28110/07:63505132
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - laser; micro-machining; prediction; surface quality; artificial neural network; multilayer feed-forward neural network (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...i/riv/mistoVydani
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| http://linked.open...i/riv/nazevZdroje
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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...UplatneniVysledku
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| http://linked.open...iv/tvurceVysledku
| - Sámek, David
- Sýkorová, Libuše
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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
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| https://schema.org/isbn
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| http://localhost/t...ganizacniJednotka
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