Learning system of manufacturing knowledge acquisition

• Autorzy: Rojek I.
• Języki publikacji: EN

Abstrakty

EN

In the paper, learning system of manufacturing knowledge acquisition in the range of tool selection to machining operation was presented. Currently often and often research concerning machine learning is developed. Machine learning includes issues of system designing which improves its operations, along with analysis of experience represented by file of learning examples. Recently, machine learning methods have been applied successfully in many practical problems and are becoming a part of advanced information systems - in particular concerning knowledge discovery in databases, and the so-called data mining. Learning system acquires knowledge by using the method of decision trees induction. This method allows approximation of classification functions of discrete output values relating to certain terms, decision classes. The system learns to select tools on the basis of the ones chosen out of the database by process engineering experts for machining operations. In the method of decision trees induction a decision tree is created. This tree allows classification of the whole learning examples file into homogeneous classes. On the basis of the decision tree, decision rules are created. Next, these rules are used in expert system for selection of tools from outside of the file of learning examples.

Słowa kluczowe

EN

knowledge acquisition; method of induction of decision trees; tools selection

PL

wybór narzędzi

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2006
• Tom: Vol. 11, no 1
• Strony: 19--23
• Opis fizyczny: Bibliogr. 4 poz.

Twórcy

autor

Rojek I.

• Institute of Environmental Mechanics and Applied Computer Science, Kazimierz Wielki University, Chodkiewicza 30, 85-072 Bydgoszcz, POLAND,

Bibliografia

• [1] Michalski R.S., “On the Nature of Learning - Issues and Research Directions”, Informatics, No 2, pages 4-7, No 3, pages 8-11 (article in two parts), 1988,in Polish.
• [2] Cichosz P., “Learning systems”, WNT, Warszawa, 2000, in Polish.
• [3] Krawiec K. Stefanowski J., “Machine Learning and Neural Networks”, Publisher Technical University of Poznań, Poznań, 2004, in Polish.
• [4] Rojek-Mikołajczak I., “Data Mining Methods in Intelligent Database Aiding the Design of Manufacturing Processes”, Computer Programming and Applications, Prodialog No 19, Nakom, Poznań, pages 1-9, in Polish.