Open AccessThe use of artificial intelligence to model the geometric state of the surface after EDM machining of tool steels
Author(s) -
H. Nieciąg,
Rafał Kudelski,
Krzysztof Zagórski
Publication year - 2018
Publication title -
autobusy
Language(s) - English
Resource type - Journals
eISSN - 2450-7725
pISSN - 1509-5878
DOI - 10.24136/atest.2018.454
Subject(s) - machining , artificial neural network , process (computing) , surface (topology) , artificial intelligence , computer science , product (mathematics) , state (computer science) , electrical discharge machining , engineering , mechanical engineering , mathematics , algorithm , geometry , operating system
The article presents the application of artificial intelligence methods in the form of artificial neural networks (SSN) for modeling the geometrical state of a product shaped in the EDM process. The SSN with different architecture and different learning algorithms were implemented. The models' quality and their effectiveness in predicting some geometrical features of tool steel products were examined.