Title :
Machine learning — Based classification in manufacturing system
Author :
Witkowski, Tadeusz ; Antczak, P. ; Antczak, A.
Author_Institution :
Fac. of Production Eng., Warsaw Univ. Technol., Warsaw, Poland
Abstract :
This paper shows the application of inductive learning for acquisition of knowledge in manufacturing system. The software of this models, allows us to analyze the process construction rules for many variants reflecting a variety of combinations other factors. A sets of attributes selected for generating the necessary training examples for the machine learning algorithm have been used. Experiments indicate that these methods are well suited to do the classification of manufacturing problems.
Keywords :
knowledge acquisition; learning by example; manufacturing systems; production engineering computing; inductive learning; knowledge acquisition; machine learning algorithm; manufacturing system; process construction rules; Classification algorithms; Decision trees; Learning systems; Machine learning; Machine learning algorithms; Production; Training; acquisition knowledge; inductive learning; manufacturing system;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-1426-9
DOI :
10.1109/IDAACS.2011.6072833
