- Tytuł:
- The Prediction of Moulding Sand Moisture Content Based on the Knowledge Acquired by Data Mining Techniques
- Autorzy:
-
Regulski, K.
Jakubski, J.
Opaliński, A.
Brzeziński, M.
Głowacki, M. - Powiązania:
- https://bibliotekanauki.pl/articles/355982.pdf
- Data publikacji:
- 2016
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
application of information technology to the foundry industry
moulding sands
decision trees
ANOVA
data mining - Opis:
- The subject of the study is the improvement of the quality of moulding sand preparation. An exploration research performed on the data concerning moulding sand quality parameters was described. The aim of the research was to find relationships between various factors determining the properties of moulding sands and, based on the results obtained, build models predicting the sand moisture content with the induction of classification and regression trees. A two-match prediction approach was demonstrated and its effectiveness in evaluating the moulding sand moisture content was discussed. The knowledge in the form of rules acquired in this way can be used in the creation of knowledge bases for systems supporting decisions in the diagnostics of the moulding sand rebonding process. Formalized knowledge also facilitates further processing of the measurement data.
- Źródło:
-
Archives of Metallurgy and Materials; 2016, 61, 3; 1709-1714
1733-3490 - Pojawia się w:
- Archives of Metallurgy and Materials
- Dostawca treści:
- Biblioteka Nauki
Artykuł