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Detail publikace
DVOŘÁK, J. DVOŘÁKOVÁ, J. SLANÝ, M. PÍŠKA, M.
Originální název
ARTIFICIAL INTELLIGENCE IN DEFINITION OF MATERIAL ENTER DATA THAT DETERMINE QUALITY FINISH AFTER AWJ CUTTING PROCESS
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Tolerance of setting AWJ cutting parameters on each material have big influence on quality finish and all characteristics of material kefr after cutting process. There is direct relation between species of workpiece material and final results obtained after AWJ cutting. Thus there is a need to have a tool for right material setting, choosing optimal cutting parameters and finding relations between each variables of cutting process. Using of information technology specially machine learning methods should be the right way. From all methods the Receptive Field Weighted Regression (RFWR) can be used as a function approximator for different mapping tasks like learning the value function for reinforcement learning. After learning process we can do several operations with obtained data base, like a choosing of cutting conditions for new or incomplete deffined material or finding relations between each properties of AWJ process.
Klíčová slova
abrasive waterjet cutting, artificial intelligence, cutting conditons, knowledge systems, expert system, knowledge base, database.
Autoři
DVOŘÁK, J.; DVOŘÁKOVÁ, J.; SLANÝ, M.; PÍŠKA, M.
Rok RIV
2007
Vydáno
24. 10. 2007
Nakladatel
Published by DAAM International
Místo
Vídeň
ISBN
3-901509-58-5
Kniha
Annals of DAAAM for 2007 & Proceedings of the 18th International DAAAM Symposium in Zadar
Číslo edice
1
Strany od
263
Strany do
264
Strany počet
2
BibTex
@inproceedings{BUT26401, author="Jaromír {Dvořák} and Jana {Dvořáková} and Martin {Slaný} and Miroslav {Píška}", title="ARTIFICIAL INTELLIGENCE IN DEFINITION OF MATERIAL ENTER DATA THAT DETERMINE QUALITY FINISH AFTER AWJ CUTTING PROCESS", booktitle="Annals of DAAAM for 2007 & Proceedings of the 18th International DAAAM Symposium in Zadar", year="2007", number="1", pages="263--264", publisher="Published by DAAM International", address="Vídeň", isbn="3-901509-58-5" }