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DVOŘÁK, J. DVOŘÁKOVÁ, J. SLANÝ, M. PÍŠKA, M.
Original Title
ARTIFICIAL INTELLIGENCE IN DEFINITION OF MATERIAL ENTER DATA THAT DETERMINE QUALITY FINISH AFTER AWJ CUTTING PROCESS
Type
conference paper
Language
English
Original Abstract
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.
Keywords
abrasive waterjet cutting, artificial intelligence, cutting conditons, knowledge systems, expert system, knowledge base, database.
Authors
DVOŘÁK, J.; DVOŘÁKOVÁ, J.; SLANÝ, M.; PÍŠKA, M.
RIV year
2007
Released
24. 10. 2007
Publisher
Published by DAAM International
Location
Vídeň
ISBN
3-901509-58-5
Book
Annals of DAAAM for 2007 & Proceedings of the 18th International DAAAM Symposium in Zadar
Edition number
1
Pages from
263
Pages to
264
Pages count
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" }