- Tytuł:
- Influence of the training set value on the quality of the neural network to identify selected moulding sand properties
- Autorzy:
-
Jakubski, J.
Dobosz, S. M.
Major-Gabryś, K. - Powiązania:
- https://bibliotekanauki.pl/articles/381338.pdf
- Data publikacji:
- 2013
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
information technology
foundry industry
quality management
green moulding sands
neural network
technologia informacyjna
przemysł odlewniczy
zarządzanie jakością
masa formierska
sieć neuronowa - Opis:
- Artificial neural networks are one of the modern methods of the production optimisation. An attempt to apply neural networks for controlling the quality of bentonite moulding sands is presented in this paper. This is the assessment method of sands suitability by means of detecting correlations between their individual parameters. This paper presents the next part of the study on usefulness of artificial neural networks to support rebonding of green moulding sand, using chosen properties of moulding sands, which can be determined fast. The effect of changes in the training set quantity on the quality of the network is presented in this article. It has been shown that a small change in the data set would change the quality of the network, and may also make it necessary to change the type of network in order to obtain good results.
- Źródło:
-
Archives of Foundry Engineering; 2013, 13, 2; 49-52
1897-3310
2299-2944 - Pojawia się w:
- Archives of Foundry Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł