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A machine learning analysis of abrasive water jet cutting parametersJunkar, Mihael ...State-of-the-art abrasive water jet (AWJ) machining systems are supported by expert systems including technological information gained through exhaustive experimental work. In this paper we applied ... Inductive Machine Learning to acquire technological knowledge from experimental work. The learning data were taken for the case of abrasive water jet cutting of aluminum alloy. The results enable optimal parameters settings for the chosen quality of the cut.Source: Annals of DAAAM for 2000 & Proceedings of the 11th International DAAAM symposium "Intelligent Manufacturing & Automation: Man - Machine - Nature", University of Rijeka, 19-21st October 2000, Opatija, Croatia (Str. 209-210)Type of material - conference contributionPublish date - 2000Language - englishCOBISS.SI-ID - 3990811
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Database name | Field | Year |
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Junkar, Mihael | 09006 |
Kramar, Davorin | 17076 |
Filipič, Bogdan | 05026 |
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